Warning: Permanently added '44.200.192.135' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/6923891-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 0.70
PID: 6922
Logging PID: 6923
Task:
{'appstream': False,
 'background': False,
 'bootstrap': 'off',
 'build_id': 6923891,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '5562a638aa2edfec9c20254d971d293b0494bca1',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmmrBase',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-glmmrBase',
 'package_version': '0.6.2-1.copr6923891',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '6923891-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmmrBase /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmmrBase', '/var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase'...

Running: git checkout 5562a638aa2edfec9c20254d971d293b0494bca1 --

cmd: ['git', 'checkout', '5562a638aa2edfec9c20254d971d293b0494bca1', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase
rc: 0
stdout: 
stderr: Note: switching to '5562a638aa2edfec9c20254d971d293b0494bca1'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at 5562a63 automatic import of R-CRAN-glmmrBase

Running: copr-distgit-client sources

cmd: ['copr-distgit-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading glmmrBase_0.6.2.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o glmmrBase_0.6.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-glmmrBase/glmmrBase_0.6.2.tar.gz/md5/04ba15a4b7752b966ca9c27f1cd084eb/glmmrBase_0.6.2.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100  206k  100  206k    0     0  8738k      0 --:--:-- --:--:-- --:--:-- 8978k
INFO: Reading stdout from command: md5sum glmmrBase_0.6.2.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase/R-CRAN-glmmrBase.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1705713496.207263 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.4 starting (python version = 3.11.3, NVR = mock-5.4-1.fc38), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase/R-CRAN-glmmrBase.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1705713496.207263 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase/R-CRAN-glmmrBase.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.4
INFO: Mock Version: 5.4
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1705713496.207263/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (fallback)
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.18.2-1.fc38.x86_64
  rpm-sequoia-1.4.0-3.fc38.x86_64
  python3-dnf-4.18.2-1.fc38.noarch
  python3-dnf-plugins-core-4.4.4-1.fc38.noarch
  yum-4.18.2-1.fc38.noarch
  dnf5-5.1.10-1.fc38.x86_64
  dnf5-plugins-5.1.10-1.fc38.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  22.7 MiB/s |  20.6 MiB |  00m01s
 Copr repository                        100% |  48.6 MiB/s |  11.6 MiB |  00m00s
Repositories loaded.
Package                           Arch   Version                    Repository      Size
Installing group/module packages:                                                       
 bash                             x86_64 5.2.21-2.fc40              fedora       8.2 MiB
 bzip2                            x86_64 1.0.8-16.fc39              fedora      91.5 KiB
 coreutils                        x86_64 9.4-3.fc40                 fedora       5.8 MiB
 cpio                             x86_64 2.14-5.fc40                fedora       1.0 MiB
 diffutils                        x86_64 3.10-3.fc39                fedora       1.6 MiB
 fedora-release-common            noarch 40-0.29                    fedora      19.1 KiB
 findutils                        x86_64 1:4.9.0-6.fc40             fedora       1.5 MiB
 gawk                             x86_64 5.3.0-1.fc40               fedora       1.7 MiB
 glibc-minimal-langpack           x86_64 2.38.9000-33.fc40          fedora       0.0   B
 grep                             x86_64 3.11-5.fc40                fedora       1.0 MiB
 gzip                             x86_64 1.12-6.fc39                fedora     372.0 KiB
 info                             x86_64 7.1-1.fc40                 fedora     373.6 KiB
 patch                            x86_64 2.7.6-22.fc39              fedora     254.6 KiB
 redhat-rpm-config                noarch 280-1.fc40                 fedora     183.2 KiB
 rpm-build                        x86_64 4.19.1-2.fc40              fedora     181.2 KiB
 sed                              x86_64 4.8-14.fc39                fedora     797.8 KiB
 shadow-utils                     x86_64 2:4.14.0-2.fc40            fedora       4.0 MiB
 tar                              x86_64 2:1.35-2.fc40              fedora       3.0 MiB
 unzip                            x86_64 6.0-62.fc39                fedora     394.6 KiB
 util-linux                       x86_64 2.39.3-2.fc40              fedora       3.5 MiB
 which                            x86_64 2.21-40.fc39               fedora      80.1 KiB
 xz                               x86_64 5.4.5-1.fc40               fedora       2.0 MiB
Installing dependencies:                                                                
 alternatives                     x86_64 1.26-1.fc40                fedora      62.3 KiB
 ansible-srpm-macros              noarch 1-12.fc40                  fedora      35.7 KiB
 audit-libs                       x86_64 4.0-1.fc40                 fedora     311.3 KiB
 authselect                       x86_64 1.5.0-1.fc40               fedora     156.5 KiB
 authselect-libs                  x86_64 1.5.0-1.fc40               fedora     987.8 KiB
 basesystem                       noarch 11-18.fc39                 fedora       0.0   B
 binutils                         x86_64 2.41-26.fc40               fedora      26.4 MiB
 binutils-gold                    x86_64 2.41-26.fc40               fedora       2.0 MiB
 bzip2-libs                       x86_64 1.0.8-16.fc39              fedora      80.6 KiB
 ca-certificates                  noarch 2023.2.62_v7.0.401-4.fc40  fedora       2.3 MiB
 coreutils-common                 x86_64 9.4-3.fc40                 fedora      11.4 MiB
 cracklib                         x86_64 2.9.11-2.fc39              fedora     246.6 KiB
 crypto-policies                  noarch 20231204-1.git1e3a2e4.fc40 fedora     149.3 KiB
 curl                             x86_64 8.5.0-1.fc40               fedora     826.3 KiB
 cyrus-sasl-lib                   x86_64 2.1.28-17.fc40             fedora       2.3 MiB
 debugedit                        x86_64 5.0-12.fc40                fedora     198.8 KiB
 dwz                              x86_64 0.15-3.fc39                fedora     282.9 KiB
 ed                               x86_64 1.19-4.fc39                fedora     140.2 KiB
 efi-srpm-macros                  noarch 5-9.fc39                   fedora      40.1 KiB
 elfutils                         x86_64 0.190-4.fc40               fedora       2.8 MiB
 elfutils-debuginfod-client       x86_64 0.190-4.fc40               fedora      60.7 KiB
 elfutils-default-yama-scope      noarch 0.190-4.fc40               fedora       1.8 KiB
 elfutils-libelf                  x86_64 0.190-4.fc40               fedora       1.0 MiB
 elfutils-libs                    x86_64 0.190-4.fc40               fedora     690.0 KiB
 fedora-gpg-keys                  noarch 40-0.2                     fedora     123.2 KiB
 fedora-release                   noarch 40-0.29                    fedora       0.0   B
 fedora-release-identity-basic    noarch 40-0.29                    fedora     694.0   B
 fedora-repos                     noarch 40-0.2                     fedora       4.9 KiB
 fedora-repos-rawhide             noarch 40-0.2                     fedora       2.2 KiB
 file                             x86_64 5.45-1.fc40                fedora     103.4 KiB
 file-libs                        x86_64 5.45-1.fc40                fedora       9.9 MiB
 filesystem                       x86_64 3.18-6.fc39                fedora     106.0   B
 fonts-srpm-macros                noarch 1:2.0.5-12.fc39            fedora      55.3 KiB
 forge-srpm-macros                noarch 0.2.0-1.fc40               fedora      37.4 KiB
 fpc-srpm-macros                  noarch 1.3-8.fc39                 fedora     144.0   B
 gdb-minimal                      x86_64 14.1-4.fc40                fedora      12.3 MiB
 gdbm                             x86_64 1:1.23-4.fc39              fedora     472.5 KiB
 gdbm-libs                        x86_64 1:1.23-4.fc39              fedora     125.7 KiB
 ghc-srpm-macros                  noarch 1.6.1-3.fc40               fedora     369.0   B
 glibc                            x86_64 2.38.9000-33.fc40          fedora       6.7 MiB
 glibc-common                     x86_64 2.38.9000-33.fc40          fedora       1.0 MiB
 glibc-gconv-extra                x86_64 2.38.9000-33.fc40          fedora       7.8 MiB
 gmp                              x86_64 1:6.2.1-5.fc39             fedora     798.5 KiB
 gnat-srpm-macros                 noarch 6-3.fc39                   fedora       1.0 KiB
 go-srpm-macros                   noarch 3.3.1-1.fc40               fedora      60.6 KiB
 jansson                          x86_64 2.13.1-7.fc39              fedora      84.3 KiB
 kernel-srpm-macros               noarch 1.0-20.fc39                fedora       1.9 KiB
 keyutils-libs                    x86_64 1.6.3-1.fc40               fedora      54.3 KiB
 krb5-libs                        x86_64 1.21.2-3.fc40              fedora       2.3 MiB
 libacl                           x86_64 2.3.1-11.fc40              fedora      39.9 KiB
 libarchive                       x86_64 3.7.2-1.fc40               fedora     922.5 KiB
 libattr                          x86_64 2.5.2-1.fc40               fedora      28.5 KiB
 libblkid                         x86_64 2.39.3-2.fc40              fedora     228.9 KiB
 libbrotli                        x86_64 1.1.0-1.fc40               fedora     825.3 KiB
 libcap                           x86_64 2.69-1.fc40                fedora     224.6 KiB
 libcap-ng                        x86_64 0.8.4-2.fc40               fedora      73.1 KiB
 libcom_err                       x86_64 1.47.0-2.fc39              fedora      67.1 KiB
 libcurl                          x86_64 8.5.0-1.fc40               fedora     784.6 KiB
 libeconf                         x86_64 0.5.2-1.fc40               fedora      55.9 KiB
 libevent                         x86_64 2.1.12-9.fc39              fedora     899.2 KiB
 libfdisk                         x86_64 2.39.3-2.fc40              fedora     363.0 KiB
 libffi                           x86_64 3.4.4-5.fc40               fedora      81.5 KiB
 libgcc                           x86_64 14.0.1-0.1.fc40            fedora     270.6 KiB
 libgomp                          x86_64 14.0.1-0.1.fc40            fedora     515.8 KiB
 libidn2                          x86_64 2.3.4-3.fc39               fedora     323.0 KiB
 libmount                         x86_64 2.39.3-2.fc40              fedora     352.1 KiB
 libnghttp2                       x86_64 1.58.0-1.fc40              fedora     170.0 KiB
 libnsl2                          x86_64 2.0.0-6.fc39               fedora      57.9 KiB
 libpkgconf                       x86_64 1.9.5-2.fc39               fedora      78.1 KiB
 libpsl                           x86_64 0.21.5-1.fc40              fedora      80.5 KiB
 libpwquality                     x86_64 1.4.5-6.fc39               fedora     417.4 KiB
 libselinux                       x86_64 3.6-2.fc40                 fedora     173.0 KiB
 libsemanage                      x86_64 3.6-1.fc40                 fedora     293.5 KiB
 libsepol                         x86_64 3.6-1.fc40                 fedora     810.0 KiB
 libsmartcols                     x86_64 2.39.3-2.fc40              fedora     140.1 KiB
 libssh                           x86_64 0.10.6-2.fc40              fedora     517.2 KiB
 libssh-config                    noarch 0.10.6-2.fc40              fedora     277.0   B
 libstdc++                        x86_64 14.0.1-0.1.fc40            fedora       2.8 MiB
 libtasn1                         x86_64 4.19.0-3.fc39              fedora     175.6 KiB
 libtirpc                         x86_64 1.3.4-1.rc1.fc40           fedora     202.8 KiB
 libunistring                     x86_64 1.1-5.fc40                 fedora       1.7 MiB
 libutempter                      x86_64 1.2.1-10.fc39              fedora      57.6 KiB
 libuuid                          x86_64 2.39.3-2.fc40              fedora      37.5 KiB
 libverto                         x86_64 0.3.2-6.fc39               fedora      29.4 KiB
 libxcrypt                        x86_64 4.4.36-4.fc40              fedora     262.8 KiB
 libxml2                          x86_64 2.12.4-1.fc40              fedora       1.7 MiB
 libzstd                          x86_64 1.5.5-4.fc39               fedora     772.0 KiB
 lua-libs                         x86_64 5.4.6-3.fc39               fedora     289.0 KiB
 lua-srpm-macros                  noarch 1-9.fc39                   fedora       1.3 KiB
 lz4-libs                         x86_64 1.9.4-4.fc39               fedora     133.3 KiB
 mpfr                             x86_64 4.2.1-1.fc40               fedora     820.1 KiB
 ncurses-base                     noarch 6.4-9.20240113.fc40        fedora     326.2 KiB
 ncurses-libs                     x86_64 6.4-9.20240113.fc40        fedora     963.1 KiB
 ocaml-srpm-macros                noarch 9-1.fc40                   fedora       1.9 KiB
 openblas-srpm-macros             noarch 2-14.fc39                  fedora     104.0   B
 openldap                         x86_64 2.6.6-1.fc39               fedora     641.5 KiB
 openssl-libs                     x86_64 1:3.1.4-1.fc40             fedora       7.8 MiB
 p11-kit                          x86_64 0.25.3-1.fc40              fedora       2.4 MiB
 p11-kit-trust                    x86_64 0.25.3-1.fc40              fedora     459.4 KiB
 package-notes-srpm-macros        noarch 0.5-9.fc39                 fedora       1.6 KiB
 pam                              x86_64 1.5.3-9.fc40               fedora       1.7 MiB
 pam-libs                         x86_64 1.5.3-9.fc40               fedora     134.8 KiB
 pcre2                            x86_64 10.42-2.fc40               fedora     633.4 KiB
 pcre2-syntax                     noarch 10.42-2.fc40               fedora     235.1 KiB
 perl-srpm-macros                 noarch 1-51.fc39                  fedora     861.0   B
 pkgconf                          x86_64 1.9.5-2.fc39               fedora      83.7 KiB
 pkgconf-m4                       noarch 1.9.5-2.fc39               fedora      13.9 KiB
 pkgconf-pkg-config               x86_64 1.9.5-2.fc39               fedora     989.0   B
 popt                             x86_64 1.19-3.fc39                fedora     136.8 KiB
 publicsuffix-list-dafsa          noarch 20240107-1.fc40            fedora      67.5 KiB
 pyproject-srpm-macros            noarch 1.11.0-1.fc40              fedora       1.5 KiB
 python-srpm-macros               noarch 3.12-5.fc40                fedora      50.1 KiB
 qt5-srpm-macros                  noarch 5.15.12-1.fc40             fedora     492.0   B
 qt6-srpm-macros                  noarch 6.6.1-3.fc40               fedora     456.0   B
 readline                         x86_64 8.2-4.fc39                 fedora     493.0 KiB
 rpm                              x86_64 4.19.1-2.fc40              fedora       3.0 MiB
 rpm-build-libs                   x86_64 4.19.1-2.fc40              fedora     202.3 KiB
 rpm-libs                         x86_64 4.19.1-2.fc40              fedora     749.7 KiB
 rpm-sequoia                      x86_64 1.5.0-2.fc40               fedora       2.3 MiB
 rust-srpm-macros                 noarch 25.2-2.fc40                fedora       5.1 KiB
 setup                            noarch 2.14.5-1.fc40              fedora     720.4 KiB
 sqlite-libs                      x86_64 3.45.0-1.fc40              fedora       1.4 MiB
 systemd-libs                     x86_64 255.2-2.fc40               fedora       1.9 MiB
 util-linux-core                  x86_64 2.39.3-2.fc40              fedora       1.4 MiB
 xxhash-libs                      x86_64 0.8.2-1.fc39               fedora      88.4 KiB
 xz-libs                          x86_64 5.4.5-1.fc40               fedora     209.7 KiB
 zig-srpm-macros                  noarch 1-1.fc40                   fedora       1.1 KiB
 zip                              x86_64 3.0-39.fc40                fedora     711.2 KiB
 zlib-ng-compat                   x86_64 2.1.6-1.fc40               fedora     130.0 KiB
 zstd                             x86_64 1.5.5-4.fc39               fedora       1.6 MiB
Installing groups:                                                                      
 Buildsystem building group                                                             

Transaction Summary:
 Installing:      152 packages

Total size of inbound packages is 52 MiB. Need to download 52 MiB.
After this operation 178 MiB will be used (install 178 MiB, remove 0 B).
[  1/152] bzip2-0:1.0.8-16.fc39.x86_64  100% | 192.9 KiB/s |  52.3 KiB |  00m00s
[  2/152] cpio-0:2.14-5.fc40.x86_64     100% |   1.0 MiB/s | 279.5 KiB |  00m00s
[  3/152] coreutils-0:9.4-3.fc40.x86_64 100% |   1.7 MiB/s |   1.1 MiB |  00m01s
[  4/152] diffutils-0:3.10-3.fc39.x86_6 100% |   2.5 MiB/s | 398.3 KiB |  00m00s
[  5/152] bash-0:5.2.21-2.fc40.x86_64   100% |   2.5 MiB/s |   1.8 MiB |  00m01s
[  6/152] fedora-release-common-0:40-0. 100% | 306.2 KiB/s |  20.5 KiB |  00m00s
[  7/152] glibc-minimal-langpack-0:2.38 100% |   1.3 MiB/s |  95.4 KiB |  00m00s
[  8/152] findutils-1:4.9.0-6.fc40.x86_ 100% |   4.2 MiB/s | 491.5 KiB |  00m00s
[  9/152] grep-0:3.11-5.fc40.x86_64     100% |   3.6 MiB/s | 298.0 KiB |  00m00s
[ 10/152] gzip-0:1.12-6.fc39.x86_64     100% |   2.3 MiB/s | 165.7 KiB |  00m00s
[ 11/152] info-0:7.1-1.fc40.x86_64      100% |   2.2 MiB/s | 184.5 KiB |  00m00s
[ 12/152] patch-0:2.7.6-22.fc39.x86_64  100% |   1.7 MiB/s | 125.4 KiB |  00m00s
[ 13/152] redhat-rpm-config-0:280-1.fc4 100% |   1.2 MiB/s |  82.2 KiB |  00m00s
[ 14/152] rpm-build-0:4.19.1-2.fc40.x86 100% |   1.1 MiB/s |  79.8 KiB |  00m00s
[ 15/152] sed-0:4.8-14.fc39.x86_64      100% |   3.6 MiB/s | 306.4 KiB |  00m00s
[ 16/152] shadow-utils-2:4.14.0-2.fc40. 100% |  11.9 MiB/s |   1.3 MiB |  00m00s
[ 17/152] unzip-0:6.0-62.fc39.x86_64    100% |   2.4 MiB/s | 184.4 KiB |  00m00s
[ 18/152] tar-2:1.35-2.fc40.x86_64      100% |   6.2 MiB/s | 863.7 KiB |  00m00s
[ 19/152] which-0:2.21-40.fc39.x86_64   100% | 529.5 KiB/s |  41.8 KiB |  00m00s
[ 20/152] xz-0:5.4.5-1.fc40.x86_64      100% |   5.8 MiB/s | 556.9 KiB |  00m00s
[ 21/152] gawk-0:5.3.0-1.fc40.x86_64    100% |  10.6 MiB/s |   1.1 MiB |  00m00s
[ 22/152] util-linux-0:2.39.3-2.fc40.x8 100% |   8.8 MiB/s |   1.1 MiB |  00m00s
[ 23/152] filesystem-0:3.18-6.fc39.x86_ 100% |   9.1 MiB/s |   1.1 MiB |  00m00s
[ 24/152] ncurses-libs-0:6.4-9.20240113 100% |   4.1 MiB/s | 332.4 KiB |  00m00s
[ 25/152] bzip2-libs-0:1.0.8-16.fc39.x8 100% | 616.8 KiB/s |  41.3 KiB |  00m00s
[ 26/152] glibc-0:2.38.9000-33.fc40.x86 100% |  11.0 MiB/s |   2.2 MiB |  00m00s
[ 27/152] gmp-1:6.2.1-5.fc39.x86_64     100% |   3.5 MiB/s | 312.6 KiB |  00m00s
[ 28/152] coreutils-common-0:9.4-3.fc40 100% |  13.4 MiB/s |   2.2 MiB |  00m00s
[ 29/152] libacl-0:2.3.1-11.fc40.x86_64 100% | 317.2 KiB/s |  23.8 KiB |  00m00s
[ 30/152] libattr-0:2.5.2-1.fc40.x86_64 100% | 268.4 KiB/s |  18.0 KiB |  00m00s
[ 31/152] libcap-0:2.69-1.fc40.x86_64   100% |   1.1 MiB/s |  83.1 KiB |  00m00s
[ 32/152] libselinux-0:3.6-2.fc40.x86_6 100% |   1.2 MiB/s |  87.8 KiB |  00m00s
[ 33/152] fedora-repos-0:40-0.2.noarch  100% | 139.5 KiB/s |   9.3 KiB |  00m00s
[ 34/152] glibc-common-0:2.38.9000-33.f 100% |   5.0 MiB/s | 380.4 KiB |  00m00s
[ 35/152] openssl-libs-1:3.1.4-1.fc40.x 100% |  12.6 MiB/s |   2.2 MiB |  00m00s
[ 36/152] pcre2-0:10.42-2.fc40.x86_64   100% |   3.3 MiB/s | 233.2 KiB |  00m00s
[ 37/152] ed-0:1.19-4.fc39.x86_64       100% |   1.1 MiB/s |  78.6 KiB |  00m00s
[ 38/152] ansible-srpm-macros-0:1-12.fc 100% | 311.9 KiB/s |  20.9 KiB |  00m00s
[ 39/152] dwz-0:0.15-3.fc39.x86_64      100% |   1.9 MiB/s | 134.1 KiB |  00m00s
[ 40/152] efi-srpm-macros-0:5-9.fc39.no 100% | 337.1 KiB/s |  22.2 KiB |  00m00s
[ 41/152] file-0:5.45-1.fc40.x86_64     100% | 733.7 KiB/s |  49.2 KiB |  00m00s
[ 42/152] fonts-srpm-macros-1:2.0.5-12. 100% | 400.9 KiB/s |  26.5 KiB |  00m00s
[ 43/152] forge-srpm-macros-0:0.2.0-1.f 100% | 279.8 KiB/s |  18.5 KiB |  00m00s
[ 44/152] fpc-srpm-macros-0:1.3-8.fc39. 100% | 110.1 KiB/s |   7.4 KiB |  00m00s
[ 45/152] ghc-srpm-macros-0:1.6.1-3.fc4 100% | 120.8 KiB/s |   8.1 KiB |  00m00s
[ 46/152] gnat-srpm-macros-0:6-3.fc39.n 100% | 133.7 KiB/s |   8.8 KiB |  00m00s
[ 47/152] go-srpm-macros-0:3.3.1-1.fc40 100% | 413.7 KiB/s |  27.7 KiB |  00m00s
[ 48/152] kernel-srpm-macros-0:1.0-20.f 100% | 158.8 KiB/s |  10.5 KiB |  00m00s
[ 49/152] lua-srpm-macros-0:1-9.fc39.no 100% | 126.8 KiB/s |   8.6 KiB |  00m00s
[ 50/152] ocaml-srpm-macros-0:9-1.fc40. 100% | 134.3 KiB/s |   9.0 KiB |  00m00s
[ 51/152] openblas-srpm-macros-0:2-14.f 100% | 114.4 KiB/s |   7.5 KiB |  00m00s
[ 52/152] package-notes-srpm-macros-0:0 100% | 169.4 KiB/s |  11.2 KiB |  00m00s
[ 53/152] perl-srpm-macros-0:1-51.fc39. 100% | 119.5 KiB/s |   8.0 KiB |  00m00s
[ 54/152] pyproject-srpm-macros-0:1.11. 100% | 220.2 KiB/s |  14.8 KiB |  00m00s
[ 55/152] python-srpm-macros-0:3.12-5.f 100% | 360.2 KiB/s |  24.9 KiB |  00m00s
[ 56/152] qt5-srpm-macros-0:5.15.12-1.f 100% | 127.3 KiB/s |   8.4 KiB |  00m00s
[ 57/152] qt6-srpm-macros-0:6.6.1-3.fc4 100% | 133.3 KiB/s |   8.8 KiB |  00m00s
[ 58/152] rpm-0:4.19.1-2.fc40.x86_64    100% |   6.9 MiB/s | 538.9 KiB |  00m00s
[ 59/152] rust-srpm-macros-0:25.2-2.fc4 100% | 196.6 KiB/s |  13.0 KiB |  00m00s
[ 60/152] zig-srpm-macros-0:1-1.fc40.no 100% | 115.6 KiB/s |   8.0 KiB |  00m00s
[ 61/152] zip-0:3.0-39.fc40.x86_64      100% |   3.7 MiB/s | 265.6 KiB |  00m00s
[ 62/152] debugedit-0:5.0-12.fc40.x86_6 100% |   1.1 MiB/s |  78.4 KiB |  00m00s
[ 63/152] elfutils-0:0.190-4.fc40.x86_6 100% |   7.2 MiB/s | 550.2 KiB |  00m00s
[ 64/152] elfutils-libelf-0:0.190-4.fc4 100% |   2.8 MiB/s | 194.3 KiB |  00m00s
[ 65/152] popt-0:1.19-3.fc39.x86_64     100% | 921.8 KiB/s |  66.4 KiB |  00m00s
[ 66/152] readline-0:8.2-4.fc39.x86_64  100% |   2.9 MiB/s | 212.5 KiB |  00m00s
[ 67/152] rpm-build-libs-0:4.19.1-2.fc4 100% |   1.4 MiB/s |  96.1 KiB |  00m00s
[ 68/152] rpm-libs-0:4.19.1-2.fc40.x86_ 100% |   4.3 MiB/s | 312.5 KiB |  00m00s
[ 69/152] zstd-0:1.5.5-4.fc39.x86_64    100% |   6.4 MiB/s | 482.3 KiB |  00m00s
[ 70/152] audit-libs-0:4.0-1.fc40.x86_6 100% |   1.7 MiB/s | 119.7 KiB |  00m00s
[ 71/152] libeconf-0:0.5.2-1.fc40.x86_6 100% | 449.0 KiB/s |  30.1 KiB |  00m00s
[ 72/152] libsemanage-0:3.6-1.fc40.x86_ 100% |   1.7 MiB/s | 116.1 KiB |  00m00s
[ 73/152] libxcrypt-0:4.4.36-4.fc40.x86 100% |   1.6 MiB/s | 118.4 KiB |  00m00s
[ 74/152] setup-0:2.14.5-1.fc40.noarch  100% |   2.2 MiB/s | 154.7 KiB |  00m00s
[ 75/152] xz-libs-0:5.4.5-1.fc40.x86_64 100% |   1.6 MiB/s | 108.4 KiB |  00m00s
[ 76/152] mpfr-0:4.2.1-1.fc40.x86_64    100% |   4.6 MiB/s | 342.8 KiB |  00m00s
[ 77/152] libblkid-0:2.39.3-2.fc40.x86_ 100% |   1.6 MiB/s | 114.4 KiB |  00m00s
[ 78/152] libcap-ng-0:0.8.4-2.fc40.x86_ 100% | 493.9 KiB/s |  32.6 KiB |  00m00s
[ 79/152] libfdisk-0:2.39.3-2.fc40.x86_ 100% |   2.3 MiB/s | 159.5 KiB |  00m00s
[ 80/152] libmount-0:2.39.3-2.fc40.x86_ 100% |   2.2 MiB/s | 153.4 KiB |  00m00s
[ 81/152] libsmartcols-0:2.39.3-2.fc40. 100% | 969.7 KiB/s |  66.9 KiB |  00m00s
[ 82/152] libutempter-0:1.2.1-10.fc39.x 100% | 397.8 KiB/s |  26.3 KiB |  00m00s
[ 83/152] libuuid-0:2.39.3-2.fc40.x86_6 100% | 424.0 KiB/s |  28.4 KiB |  00m00s
[ 84/152] pam-libs-0:1.5.3-9.fc40.x86_6 100% | 850.5 KiB/s |  57.0 KiB |  00m00s
[ 85/152] systemd-libs-0:255.2-2.fc40.x 100% |   8.6 MiB/s | 693.0 KiB |  00m00s
[ 86/152] util-linux-core-0:2.39.3-2.fc 100% |   6.6 MiB/s | 503.1 KiB |  00m00s
[ 87/152] basesystem-0:11-18.fc39.noarc 100% | 109.2 KiB/s |   7.2 KiB |  00m00s
[ 88/152] libgcc-0:14.0.1-0.1.fc40.x86_ 100% |   1.6 MiB/s | 108.5 KiB |  00m00s
[ 89/152] ncurses-base-0:6.4-9.20240113 100% |   1.2 MiB/s |  88.6 KiB |  00m00s
[ 90/152] libsepol-0:3.6-1.fc40.x86_64  100% |   4.5 MiB/s | 339.7 KiB |  00m00s
[ 91/152] glibc-gconv-extra-0:2.38.9000 100% |   8.1 MiB/s |   1.7 MiB |  00m00s
[ 92/152] ca-certificates-0:2023.2.62_v 100% |  10.3 MiB/s | 862.6 KiB |  00m00s
[ 93/152] crypto-policies-0:20231204-1. 100% |   1.3 MiB/s |  99.7 KiB |  00m00s
[ 94/152] fedora-gpg-keys-0:40-0.2.noar 100% |   1.8 MiB/s | 130.0 KiB |  00m00s
[ 95/152] fedora-repos-rawhide-0:40-0.2 100% | 129.3 KiB/s |   8.9 KiB |  00m00s
[ 96/152] pcre2-syntax-0:10.42-2.fc40.n 100% |   2.0 MiB/s | 143.1 KiB |  00m00s
[ 97/152] file-libs-0:5.45-1.fc40.x86_6 100% |   7.0 MiB/s | 763.2 KiB |  00m00s
[ 98/152] libarchive-0:3.7.2-1.fc40.x86 100% |   5.2 MiB/s | 407.9 KiB |  00m00s
[ 99/152] elfutils-libs-0:0.190-4.fc40. 100% |   3.3 MiB/s | 258.7 KiB |  00m00s
[100/152] libzstd-0:1.5.5-4.fc39.x86_64 100% |   4.2 MiB/s | 308.6 KiB |  00m00s
[101/152] libgomp-0:14.0.1-0.1.fc40.x86 100% |   4.0 MiB/s | 325.8 KiB |  00m00s
[102/152] libstdc++-0:14.0.1-0.1.fc40.x 100% |   7.7 MiB/s | 867.1 KiB |  00m00s
[103/152] lua-libs-0:5.4.6-3.fc39.x86_6 100% |   1.9 MiB/s | 132.7 KiB |  00m00s
[104/152] rpm-sequoia-0:1.5.0-2.fc40.x8 100% |  10.6 MiB/s | 878.7 KiB |  00m00s
[105/152] sqlite-libs-0:3.45.0-1.fc40.x 100% |   6.8 MiB/s | 704.4 KiB |  00m00s
[106/152] lz4-libs-0:1.9.4-4.fc39.x86_6 100% | 996.2 KiB/s |  66.7 KiB |  00m00s
[107/152] libxml2-0:2.12.4-1.fc40.x86_6 100% |   8.4 MiB/s | 682.6 KiB |  00m00s
[108/152] elfutils-default-yama-scope-0 100% | 194.5 KiB/s |  12.8 KiB |  00m00s
[109/152] zlib-ng-compat-0:2.1.6-1.fc40 100% |   1.1 MiB/s |  76.4 KiB |  00m00s
[110/152] authselect-libs-0:1.5.0-1.fc4 100% |   3.1 MiB/s | 247.3 KiB |  00m00s
[111/152] authselect-0:1.5.0-1.fc40.x86 100% |   2.0 MiB/s | 148.9 KiB |  00m00s
[112/152] pam-0:1.5.3-9.fc40.x86_64     100% |   5.9 MiB/s | 547.2 KiB |  00m00s
[113/152] gdbm-libs-1:1.23-4.fc39.x86_6 100% | 837.7 KiB/s |  56.1 KiB |  00m00s
[114/152] libnsl2-0:2.0.0-6.fc39.x86_64 100% | 449.3 KiB/s |  29.7 KiB |  00m00s
[115/152] libpwquality-0:1.4.5-6.fc39.x 100% |   1.6 MiB/s | 119.7 KiB |  00m00s
[116/152] libtirpc-0:1.3.4-1.rc1.fc40.x 100% |   1.4 MiB/s |  93.7 KiB |  00m00s
[117/152] cracklib-0:2.9.11-2.fc39.x86_ 100% |   1.4 MiB/s |  93.7 KiB |  00m00s
[118/152] libcom_err-0:1.47.0-2.fc39.x8 100% | 388.2 KiB/s |  26.0 KiB |  00m00s
[119/152] krb5-libs-0:1.21.2-3.fc40.x86 100% |   7.2 MiB/s | 756.1 KiB |  00m00s
[120/152] keyutils-libs-0:1.6.3-1.fc40. 100% | 467.5 KiB/s |  31.3 KiB |  00m00s
[121/152] libverto-0:0.3.2-6.fc39.x86_6 100% | 309.5 KiB/s |  20.4 KiB |  00m00s
[122/152] alternatives-0:1.26-1.fc40.x8 100% | 590.9 KiB/s |  39.6 KiB |  00m00s
[123/152] binutils-gold-0:2.41-26.fc40. 100% |   9.0 MiB/s | 780.0 KiB |  00m00s
[124/152] elfutils-debuginfod-client-0: 100% | 561.0 KiB/s |  37.6 KiB |  00m00s
[125/152] jansson-0:2.13.1-7.fc39.x86_6 100% | 657.6 KiB/s |  44.1 KiB |  00m00s
[126/152] pkgconf-pkg-config-0:1.9.5-2. 100% | 143.8 KiB/s |   9.6 KiB |  00m00s
[127/152] pkgconf-0:1.9.5-2.fc39.x86_64 100% | 615.3 KiB/s |  42.5 KiB |  00m00s
[128/152] pkgconf-m4-0:1.9.5-2.fc39.noa 100% | 198.3 KiB/s |  13.9 KiB |  00m00s
[129/152] libpkgconf-0:1.9.5-2.fc39.x86 100% | 571.9 KiB/s |  37.7 KiB |  00m00s
[130/152] gdbm-1:1.23-4.fc39.x86_64     100% |   2.2 MiB/s | 154.7 KiB |  00m00s
[131/152] binutils-0:2.41-26.fc40.x86_6 100% |  14.5 MiB/s |   6.2 MiB |  00m00s
[132/152] p11-kit-0:0.25.3-1.fc40.x86_6 100% |   5.1 MiB/s | 521.8 KiB |  00m00s
[133/152] libffi-0:3.4.4-5.fc40.x86_64  100% | 474.3 KiB/s |  39.4 KiB |  00m00s
[134/152] libtasn1-0:4.19.0-3.fc39.x86_ 100% |   1.0 MiB/s |  74.2 KiB |  00m00s
[135/152] p11-kit-trust-0:0.25.3-1.fc40 100% |   2.0 MiB/s | 141.5 KiB |  00m00s
[136/152] fedora-release-0:40-0.29.noar 100% | 141.0 KiB/s |  10.0 KiB |  00m00s
[137/152] xxhash-libs-0:0.8.2-1.fc39.x8 100% | 549.0 KiB/s |  37.3 KiB |  00m00s
[138/152] curl-0:8.5.0-1.fc40.x86_64    100% |   5.0 MiB/s | 372.9 KiB |  00m00s
[139/152] fedora-release-identity-basic 100% | 138.5 KiB/s |  10.8 KiB |  00m00s
[140/152] libcurl-0:8.5.0-1.fc40.x86_64 100% |   3.7 MiB/s | 345.1 KiB |  00m00s
[141/152] libbrotli-0:1.1.0-1.fc40.x86_ 100% |   3.4 MiB/s | 335.9 KiB |  00m00s
[142/152] libidn2-0:2.3.4-3.fc39.x86_64 100% |   1.2 MiB/s | 116.9 KiB |  00m00s
[143/152] gdb-minimal-0:14.1-4.fc40.x86 100% |  12.8 MiB/s |   4.2 MiB |  00m00s
[144/152] libnghttp2-0:1.58.0-1.fc40.x8 100% | 972.7 KiB/s |  75.9 KiB |  00m00s
[145/152] libpsl-0:0.21.5-1.fc40.x86_64 100% | 903.6 KiB/s |  63.3 KiB |  00m00s
[146/152] openldap-0:2.6.6-1.fc39.x86_6 100% |   3.5 MiB/s | 254.8 KiB |  00m00s
[147/152] libssh-0:0.10.6-2.fc40.x86_64 100% |   2.7 MiB/s | 212.5 KiB |  00m00s
[148/152] libunistring-0:1.1-5.fc40.x86 100% |   7.0 MiB/s | 543.2 KiB |  00m00s
[149/152] publicsuffix-list-dafsa-0:202 100% | 840.8 KiB/s |  58.0 KiB |  00m00s
[150/152] libssh-config-0:0.10.6-2.fc40 100% | 133.4 KiB/s |   9.1 KiB |  00m00s
[151/152] cyrus-sasl-lib-0:2.1.28-17.fc 100% |   9.6 MiB/s | 789.0 KiB |  00m00s
[152/152] libevent-0:2.1.12-9.fc39.x86_ 100% |   3.2 MiB/s | 257.7 KiB |  00m00s
--------------------------------------------------------------------------------
[152/152] Total                         100% |  10.7 MiB/s |  52.3 MiB |  00m05s
Running transaction
Importing PGP key 0xA15B79CC:
 Userid     : "Fedora (40) <fedora-40-primary@fedoraproject.org>"
 Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary
The key was successfully imported.
Importing PGP key 0xA15B79CC:
 Userid     : "Fedora (40) <fedora-40-primary@fedoraproject.org>"
 Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary
The key was successfully imported.
Importing PGP key 0x18B8E74C:
 Userid     : "Fedora (39) <fedora-39-primary@fedoraproject.org>"
 Fingerprint: E8F23996F23218640CB44CBE75CF5AC418B8E74C
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary
The key was successfully imported.
[  1/154] Verify package files          100% | 716.0   B/s | 152.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-6.fc39.x86_64
>>> Stop pre-transaction scriptlet: filesystem-0:3.18-6.fc39.x86_64
[  2/154] Prepare transaction           100% |   4.1 KiB/s | 152.0   B |  00m00s
[  3/154] Installing libgcc-0:14.0.1-0. 100% | 133.0 MiB/s | 272.3 KiB |  00m00s
>>> Running post-install scriptlet: libgcc-0:14.0.1-0.1.fc40.x86_64
>>> Stop post-install scriptlet: libgcc-0:14.0.1-0.1.fc40.x86_64
[  4/154] Installing crypto-policies-0: 100% |  35.5 MiB/s | 181.7 KiB |  00m00s
>>> Running post-install scriptlet: crypto-policies-0:20231204-1.git1e3a2e4.fc40
>>> Stop post-install scriptlet: crypto-policies-0:20231204-1.git1e3a2e4.fc40.no
[  5/154] Installing fedora-release-ide 100% |   0.0   B/s | 952.0   B |  00m00s
[  6/154] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  7/154] Installing fedora-gpg-keys-0: 100% |  54.6 MiB/s | 167.6 KiB |  00m00s
[  8/154] Installing fedora-repos-0:40- 100% |   5.6 MiB/s |   5.7 KiB |  00m00s
[  9/154] Installing fedora-release-com 100% |  22.6 MiB/s |  23.2 KiB |  00m00s
[ 10/154] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 11/154] Installing setup-0:2.14.5-1.f 100% |  64.4 MiB/s | 725.8 KiB |  00m00s
>>> Running post-install scriptlet: setup-0:2.14.5-1.fc40.noarch
>>> Stop post-install scriptlet: setup-0:2.14.5-1.fc40.noarch
[ 12/154] Installing filesystem-0:3.18- 100% |   3.3 MiB/s | 212.4 KiB |  00m00s
[ 13/154] Installing basesystem-0:11-18 100% |   0.0   B/s | 124.0   B |  00m00s
[ 14/154] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[ 15/154] Installing publicsuffix-list- 100% |   0.0   B/s |  68.3 KiB |  00m00s
[ 16/154] Installing pkgconf-m4-0:1.9.5 100% |   0.0   B/s |  14.3 KiB |  00m00s
[ 17/154] Installing pcre2-syntax-0:10. 100% | 232.0 MiB/s | 237.6 KiB |  00m00s
[ 18/154] Installing ncurses-base-0:6.4 100% |  85.9 MiB/s | 351.6 KiB |  00m00s
[ 19/154] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 20/154] Installing ncurses-libs-0:6.4 100% | 236.7 MiB/s | 969.6 KiB |  00m00s
>>> Running pre-install scriptlet: glibc-0:2.38.9000-33.fc40.x86_64
>>> Stop pre-install scriptlet: glibc-0:2.38.9000-33.fc40.x86_64
[ 21/154] Installing glibc-0:2.38.9000- 100% | 232.6 MiB/s |   6.7 MiB |  00m00s
>>> Running post-install scriptlet: glibc-0:2.38.9000-33.fc40.x86_64
>>> Stop post-install scriptlet: glibc-0:2.38.9000-33.fc40.x86_64
[ 22/154] Installing bash-0:5.2.21-2.fc 100% | 409.6 MiB/s |   8.2 MiB |  00m00s
>>> Running post-install scriptlet: bash-0:5.2.21-2.fc40.x86_64
>>> Stop post-install scriptlet: bash-0:5.2.21-2.fc40.x86_64
[ 23/154] Installing glibc-common-0:2.3 100% | 204.1 MiB/s |   1.0 MiB |  00m00s
[ 24/154] Installing glibc-gconv-extra- 100% | 245.7 MiB/s |   7.9 MiB |  00m00s
>>> Running post-install scriptlet: glibc-gconv-extra-0:2.38.9000-33.fc40.x86_64
>>> Stop post-install scriptlet: glibc-gconv-extra-0:2.38.9000-33.fc40.x86_64
[ 25/154] Installing zlib-ng-compat-0:2 100% | 127.8 MiB/s | 130.8 KiB |  00m00s
[ 26/154] Installing xz-libs-0:5.4.5-1. 100% | 205.9 MiB/s | 210.8 KiB |  00m00s
[ 27/154] Installing bzip2-libs-0:1.0.8 100% |  79.8 MiB/s |  81.7 KiB |  00m00s
[ 28/154] Installing popt-0:1.19-3.fc39 100% |  70.0 MiB/s | 143.4 KiB |  00m00s
[ 29/154] Installing readline-0:8.2-4.f 100% | 241.8 MiB/s | 495.1 KiB |  00m00s
[ 30/154] Installing libuuid-0:2.39.3-2 100% |   0.0   B/s |  38.8 KiB |  00m00s
[ 31/154] Installing libstdc++-0:14.0.1 100% | 394.4 MiB/s |   2.8 MiB |  00m00s
[ 32/154] Installing libzstd-0:1.5.5-4. 100% | 377.6 MiB/s | 773.2 KiB |  00m00s
[ 33/154] Installing elfutils-libelf-0: 100% | 492.8 MiB/s |   1.0 MiB |  00m00s
[ 34/154] Installing libblkid-0:2.39.3- 100% | 224.6 MiB/s | 230.0 KiB |  00m00s
[ 35/154] Installing gmp-1:6.2.1-5.fc39 100% | 391.0 MiB/s | 800.8 KiB |  00m00s
[ 36/154] Installing libattr-0:2.5.2-1. 100% |   0.0   B/s |  29.5 KiB |  00m00s
[ 37/154] Installing libacl-0:2.3.1-11. 100% |   0.0   B/s |  40.8 KiB |  00m00s
[ 38/154] Installing libxcrypt-0:4.4.36 100% | 259.3 MiB/s | 265.5 KiB |  00m00s
[ 39/154] Installing libeconf-0:0.5.2-1 100% |   0.0   B/s |  57.6 KiB |  00m00s
[ 40/154] Installing lz4-libs-0:1.9.4-4 100% | 131.2 MiB/s | 134.4 KiB |  00m00s
[ 41/154] Installing gdbm-libs-1:1.23-4 100% | 124.4 MiB/s | 127.4 KiB |  00m00s
[ 42/154] Installing mpfr-0:4.2.1-1.fc4 100% | 267.4 MiB/s | 821.6 KiB |  00m00s
[ 43/154] Installing gawk-0:5.3.0-1.fc4 100% | 287.4 MiB/s |   1.7 MiB |  00m00s
[ 44/154] Installing dwz-0:0.15-3.fc39. 100% | 277.6 MiB/s | 284.2 KiB |  00m00s
[ 45/154] Installing unzip-0:6.0-62.fc3 100% | 194.4 MiB/s | 398.2 KiB |  00m00s
[ 46/154] Installing file-libs-0:5.45-1 100% | 709.6 MiB/s |   9.9 MiB |  00m00s
[ 47/154] Installing file-0:5.45-1.fc40 100% | 102.5 MiB/s | 104.9 KiB |  00m00s
[ 48/154] Installing pcre2-0:10.42-2.fc 100% | 310.0 MiB/s | 634.8 KiB |  00m00s
[ 49/154] Installing grep-0:3.11-5.fc40 100% | 199.1 MiB/s |   1.0 MiB |  00m00s
[ 50/154] Installing xz-0:5.4.5-1.fc40. 100% | 285.9 MiB/s |   2.0 MiB |  00m00s
[ 51/154] Installing libcap-ng-0:0.8.4- 100% |  73.2 MiB/s |  75.0 KiB |  00m00s
[ 52/154] Installing audit-libs-0:4.0-1 100% | 153.0 MiB/s | 313.4 KiB |  00m00s
[ 53/154] Installing pam-libs-0:1.5.3-9 100% | 134.0 MiB/s | 137.2 KiB |  00m00s
[ 54/154] Installing libcap-0:2.69-1.fc 100% | 112.0 MiB/s | 229.3 KiB |  00m00s
[ 55/154] Installing systemd-libs-0:255 100% | 383.1 MiB/s |   1.9 MiB |  00m00s
[ 56/154] Installing libsmartcols-0:2.3 100% | 138.1 MiB/s | 141.4 KiB |  00m00s
[ 57/154] Installing libsepol-0:3.6-1.f 100% | 396.0 MiB/s | 811.0 KiB |  00m00s
[ 58/154] Installing libselinux-0:3.6-2 100% | 170.2 MiB/s | 174.2 KiB |  00m00s
[ 59/154] Installing sed-0:4.8-14.fc39. 100% | 196.7 MiB/s | 805.9 KiB |  00m00s
[ 60/154] Installing findutils-1:4.9.0- 100% | 294.8 MiB/s |   1.5 MiB |  00m00s
[ 61/154] Installing libmount-0:2.39.3- 100% | 345.0 MiB/s | 353.2 KiB |  00m00s
[ 62/154] Installing lua-libs-0:5.4.6-3 100% | 283.4 MiB/s | 290.2 KiB |  00m00s
[ 63/154] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.2 KiB |  00m00s
[ 64/154] Installing alternatives-0:1.2 100% |  62.5 MiB/s |  64.0 KiB |  00m00s
[ 65/154] Installing jansson-0:2.13.1-7 100% |  83.6 MiB/s |  85.6 KiB |  00m00s
[ 66/154] Installing libtasn1-0:4.19.0- 100% | 173.3 MiB/s | 177.4 KiB |  00m00s
[ 67/154] Installing libunistring-0:1.1 100% | 435.6 MiB/s |   1.7 MiB |  00m00s
[ 68/154] Installing libidn2-0:2.3.4-3. 100% | 160.6 MiB/s | 328.9 KiB |  00m00s
[ 69/154] Installing libpsl-0:0.21.5-1. 100% |  79.7 MiB/s |  81.7 KiB |  00m00s
[ 70/154] Installing util-linux-core-0: 100% | 274.0 MiB/s |   1.4 MiB |  00m00s
[ 71/154] Installing tar-2:1.35-2.fc40. 100% | 371.3 MiB/s |   3.0 MiB |  00m00s
[ 72/154] Installing libsemanage-0:3.6- 100% | 144.1 MiB/s | 295.2 KiB |  00m00s
[ 73/154] Installing shadow-utils-2:4.1 100% | 155.6 MiB/s |   4.0 MiB |  00m00s
>>> Running pre-install scriptlet: libutempter-0:1.2.1-10.fc39.x86_64
>>> Stop pre-install scriptlet: libutempter-0:1.2.1-10.fc39.x86_64
[ 74/154] Installing libutempter-0:1.2. 100% |  58.2 MiB/s |  59.5 KiB |  00m00s
[ 75/154] Installing zip-0:3.0-39.fc40. 100% | 349.2 MiB/s | 715.1 KiB |  00m00s
[ 76/154] Installing gdbm-1:1.23-4.fc39 100% | 155.4 MiB/s | 477.4 KiB |  00m00s
[ 77/154] Installing cyrus-sasl-lib-0:2 100% | 380.5 MiB/s |   2.3 MiB |  00m00s
[ 78/154] Installing zstd-0:1.5.5-4.fc3 100% | 407.7 MiB/s |   1.6 MiB |  00m00s
[ 79/154] Installing libfdisk-0:2.39.3- 100% | 355.7 MiB/s | 364.3 KiB |  00m00s
[ 80/154] Installing bzip2-0:1.0.8-16.f 100% |  93.7 MiB/s |  96.0 KiB |  00m00s
[ 81/154] Installing libxml2-0:2.12.4-1 100% | 338.3 MiB/s |   1.7 MiB |  00m00s
[ 82/154] Installing sqlite-libs-0:3.45 100% | 350.3 MiB/s |   1.4 MiB |  00m00s
[ 83/154] Installing ed-0:1.19-4.fc39.x 100% | 139.2 MiB/s | 142.5 KiB |  00m00s
[ 84/154] Installing patch-0:2.7.6-22.f 100% | 250.1 MiB/s | 256.1 KiB |  00m00s
[ 85/154] Installing elfutils-default-y 100% | 340.5 KiB/s |   2.0 KiB |  00m00s
>>> Running post-install scriptlet: elfutils-default-yama-scope-0:0.190-4.fc40.n
>>> Stop post-install scriptlet: elfutils-default-yama-scope-0:0.190-4.fc40.noar
[ 86/154] Installing cpio-0:2.14-5.fc40 100% | 257.7 MiB/s |   1.0 MiB |  00m00s
[ 87/154] Installing diffutils-0:3.10-3 100% | 315.6 MiB/s |   1.6 MiB |  00m00s
[ 88/154] Installing libgomp-0:14.0.1-0 100% | 252.5 MiB/s | 517.2 KiB |  00m00s
[ 89/154] Installing keyutils-libs-0:1. 100% |   0.0   B/s |  55.7 KiB |  00m00s
[ 90/154] Installing libverto-0:0.3.2-6 100% |   0.0   B/s |  31.2 KiB |  00m00s
[ 91/154] Installing libpkgconf-0:1.9.5 100% |  77.3 MiB/s |  79.2 KiB |  00m00s
[ 92/154] Installing pkgconf-0:1.9.5-2. 100% |  84.2 MiB/s |  86.3 KiB |  00m00s
[ 93/154] Installing pkgconf-pkg-config 100% |   0.0   B/s |   1.8 KiB |  00m00s
[ 94/154] Installing libffi-0:3.4.4-5.f 100% |  80.9 MiB/s |  82.9 KiB |  00m00s
[ 95/154] Installing p11-kit-0:0.25.3-1 100% | 267.7 MiB/s |   2.4 MiB |  00m00s
[ 96/154] Installing p11-kit-trust-0:0. 100% |  56.3 MiB/s | 461.1 KiB |  00m00s
>>> Running post-install scriptlet: p11-kit-trust-0:0.25.3-1.fc40.x86_64
>>> Stop post-install scriptlet: p11-kit-trust-0:0.25.3-1.fc40.x86_64
[ 97/154] Installing xxhash-libs-0:0.8. 100% |  87.7 MiB/s |  89.8 KiB |  00m00s
[ 98/154] Installing libbrotli-0:1.1.0- 100% | 269.4 MiB/s | 827.6 KiB |  00m00s
[ 99/154] Installing libnghttp2-0:1.58. 100% | 167.2 MiB/s | 171.2 KiB |  00m00s
[100/154] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.8 KiB |  00m00s
[101/154] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[102/154] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 768.0   B |  00m00s
[103/154] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[104/154] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[105/154] Installing openblas-srpm-macr 100% |   0.0   B/s | 384.0   B |  00m00s
[106/154] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[107/154] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[108/154] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[109/154] Installing ghc-srpm-macros-0: 100% |   0.0   B/s | 648.0   B |  00m00s
[110/154] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[111/154] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[112/154] Installing coreutils-common-0 100% | 409.4 MiB/s |  11.5 MiB |  00m00s
[113/154] Installing openssl-libs-1:3.1 100% | 432.9 MiB/s |   7.8 MiB |  00m00s
[114/154] Installing coreutils-0:9.4-3. 100% | 276.7 MiB/s |   5.8 MiB |  00m00s
>>> Running pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.fc40.n
>>> Stop pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.fc40.noar
[115/154] Installing ca-certificates-0: 100% |   4.2 MiB/s |   2.3 MiB |  00m01s
>>> Running post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.fc40.
>>> Stop post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.fc40.noa
[116/154] Installing krb5-libs-0:1.21.2 100% | 286.8 MiB/s |   2.3 MiB |  00m00s
[117/154] Installing libtirpc-0:1.3.4-1 100% | 199.7 MiB/s | 204.5 KiB |  00m00s
[118/154] Installing gzip-0:1.12-6.fc39 100% | 122.9 MiB/s | 377.5 KiB |  00m00s
>>> Running pre-install scriptlet: authselect-libs-0:1.5.0-1.fc40.x86_64
>>> Stop pre-install scriptlet: authselect-libs-0:1.5.0-1.fc40.x86_64
[119/154] Installing authselect-libs-0: 100% | 195.9 MiB/s |   1.0 MiB |  00m00s
[120/154] Installing authselect-0:1.5.0 100% |  78.6 MiB/s | 160.9 KiB |  00m00s
[121/154] Installing cracklib-0:2.9.11- 100% |  63.0 MiB/s | 257.9 KiB |  00m00s
[122/154] Installing libpwquality-0:1.4 100% | 104.9 MiB/s | 429.8 KiB |  00m00s
[123/154] Installing libnsl2-0:2.0.0-6. 100% |  57.6 MiB/s |  59.0 KiB |  00m00s
[124/154] Installing pam-0:1.5.3-9.fc40 100% | 149.4 MiB/s |   1.8 MiB |  00m00s
[125/154] Installing libssh-0:0.10.6-2. 100% | 253.6 MiB/s | 519.3 KiB |  00m00s
[126/154] Installing libarchive-0:3.7.2 100% | 300.9 MiB/s | 924.5 KiB |  00m00s
[127/154] Installing rpm-sequoia-0:1.5. 100% | 384.3 MiB/s |   2.3 MiB |  00m00s
[128/154] Installing rpm-libs-0:4.19.1- 100% | 366.8 MiB/s | 751.3 KiB |  00m00s
[129/154] Installing libevent-0:2.1.12- 100% | 293.9 MiB/s | 903.0 KiB |  00m00s
[130/154] Installing openldap-0:2.6.6-1 100% | 210.0 MiB/s | 645.3 KiB |  00m00s
[131/154] Installing libcurl-0:8.5.0-1. 100% | 383.6 MiB/s | 785.7 KiB |  00m00s
[132/154] Installing elfutils-libs-0:0. 100% | 337.7 MiB/s | 691.6 KiB |  00m00s
[133/154] Installing elfutils-debuginfo 100% |  61.2 MiB/s |  62.7 KiB |  00m00s
[134/154] Installing binutils-gold-0:2. 100% | 168.9 MiB/s |   2.0 MiB |  00m00s
>>> Running post-install scriptlet: binutils-gold-0:2.41-26.fc40.x86_64
>>> Stop post-install scriptlet: binutils-gold-0:2.41-26.fc40.x86_64
[135/154] Installing binutils-0:2.41-26 100% | 388.6 MiB/s |  26.4 MiB |  00m00s
>>> Running post-install scriptlet: binutils-0:2.41-26.fc40.x86_64
>>> Stop post-install scriptlet: binutils-0:2.41-26.fc40.x86_64
[136/154] Installing elfutils-0:0.190-4 100% | 351.6 MiB/s |   2.8 MiB |  00m00s
[137/154] Installing gdb-minimal-0:14.1 100% | 409.0 MiB/s |  12.3 MiB |  00m00s
[138/154] Installing debugedit-0:5.0-12 100% | 196.8 MiB/s | 201.5 KiB |  00m00s
[139/154] Installing rpm-build-libs-0:4 100% | 198.4 MiB/s | 203.2 KiB |  00m00s
[140/154] Installing curl-0:8.5.0-1.fc4 100% |  73.6 MiB/s | 828.6 KiB |  00m00s
>>> Running pre-install scriptlet: rpm-0:4.19.1-2.fc40.x86_64
>>> Stop pre-install scriptlet: rpm-0:4.19.1-2.fc40.x86_64
[141/154] Installing rpm-0:4.19.1-2.fc4 100% | 171.2 MiB/s |   2.4 MiB |  00m00s
[142/154] Installing efi-srpm-macros-0: 100% |   0.0   B/s |  41.2 KiB |  00m00s
[143/154] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[144/154] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[145/154] Installing fonts-srpm-macros- 100% |  55.1 MiB/s |  56.5 KiB |  00m00s
[146/154] Installing forge-srpm-macros- 100% |   0.0   B/s |  38.6 KiB |  00m00s
[147/154] Installing go-srpm-macros-0:3 100% |   0.0   B/s |  61.6 KiB |  00m00s
[148/154] Installing python-srpm-macros 100% |  50.1 MiB/s |  51.3 KiB |  00m00s
[149/154] Installing redhat-rpm-config- 100% |  92.6 MiB/s | 189.6 KiB |  00m00s
[150/154] Installing rpm-build-0:4.19.1 100% |  92.5 MiB/s | 189.4 KiB |  00m00s
[151/154] Installing pyproject-srpm-mac 100% |   2.0 MiB/s |   2.1 KiB |  00m00s
[152/154] Installing util-linux-0:2.39. 100% | 221.4 MiB/s |   3.5 MiB |  00m00s
[153/154] Installing which-0:2.21-40.fc 100% |  80.4 MiB/s |  82.3 KiB |  00m00s
[154/154] Installing info-0:7.1-1.fc40. 100% | 405.2 KiB/s | 374.0 KiB |  00m01s
>>> Running post-transaction scriptlet: filesystem-0:3.18-6.fc39.x86_64
>>> Stop post-transaction scriptlet: filesystem-0:3.18-6.fc39.x86_64
>>> Running post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.f
>>> Stop post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-4.fc40
>>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-1.fc40.x86_64
>>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-1.fc40.x86_64
>>> Running post-transaction scriptlet: rpm-0:4.19.1-2.fc40.x86_64
>>> Stop post-transaction scriptlet: rpm-0:4.19.1-2.fc40.x86_64
>>> Running trigger-install scriptlet: glibc-common-0:2.38.9000-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.38.9000-33.fc40.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-1.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-1.fc40.x86_64
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: alternatives-1.26-1.fc40.x86_64
ansible-srpm-macros-1-12.fc40.noarch
audit-libs-4.0-1.fc40.x86_64
authselect-1.5.0-1.fc40.x86_64
authselect-libs-1.5.0-1.fc40.x86_64
basesystem-11-18.fc39.noarch
bash-5.2.21-2.fc40.x86_64
binutils-2.41-26.fc40.x86_64
binutils-gold-2.41-26.fc40.x86_64
bzip2-1.0.8-16.fc39.x86_64
bzip2-libs-1.0.8-16.fc39.x86_64
ca-certificates-2023.2.62_v7.0.401-4.fc40.noarch
coreutils-9.4-3.fc40.x86_64
coreutils-common-9.4-3.fc40.x86_64
cpio-2.14-5.fc40.x86_64
cracklib-2.9.11-2.fc39.x86_64
crypto-policies-20231204-1.git1e3a2e4.fc40.noarch
curl-8.5.0-1.fc40.x86_64
cyrus-sasl-lib-2.1.28-17.fc40.x86_64
debugedit-5.0-12.fc40.x86_64
diffutils-3.10-3.fc39.x86_64
dwz-0.15-3.fc39.x86_64
ed-1.19-4.fc39.x86_64
efi-srpm-macros-5-9.fc39.noarch
elfutils-0.190-4.fc40.x86_64
elfutils-debuginfod-client-0.190-4.fc40.x86_64
elfutils-default-yama-scope-0.190-4.fc40.noarch
elfutils-libelf-0.190-4.fc40.x86_64
elfutils-libs-0.190-4.fc40.x86_64
fedora-gpg-keys-40-0.2.noarch
fedora-release-40-0.29.noarch
fedora-release-common-40-0.29.noarch
fedora-release-identity-basic-40-0.29.noarch
fedora-repos-40-0.2.noarch
fedora-repos-rawhide-40-0.2.noarch
file-5.45-1.fc40.x86_64
file-libs-5.45-1.fc40.x86_64
filesystem-3.18-6.fc39.x86_64
findutils-4.9.0-6.fc40.x86_64
fonts-srpm-macros-2.0.5-12.fc39.noarch
forge-srpm-macros-0.2.0-1.fc40.noarch
fpc-srpm-macros-1.3-8.fc39.noarch
gawk-5.3.0-1.fc40.x86_64
gdb-minimal-14.1-4.fc40.x86_64
gdbm-1.23-4.fc39.x86_64
gdbm-libs-1.23-4.fc39.x86_64
ghc-srpm-macros-1.6.1-3.fc40.noarch
glibc-2.38.9000-33.fc40.x86_64
glibc-common-2.38.9000-33.fc40.x86_64
glibc-gconv-extra-2.38.9000-33.fc40.x86_64
glibc-minimal-langpack-2.38.9000-33.fc40.x86_64
gmp-6.2.1-5.fc39.x86_64
gnat-srpm-macros-6-3.fc39.noarch
go-srpm-macros-3.3.1-1.fc40.noarch
gpg-pubkey-18b8e74c-62f2920f
gpg-pubkey-a15b79cc-63d04c2c
grep-3.11-5.fc40.x86_64
gzip-1.12-6.fc39.x86_64
info-7.1-1.fc40.x86_64
jansson-2.13.1-7.fc39.x86_64
kernel-srpm-macros-1.0-20.fc39.noarch
keyutils-libs-1.6.3-1.fc40.x86_64
krb5-libs-1.21.2-3.fc40.x86_64
libacl-2.3.1-11.fc40.x86_64
libarchive-3.7.2-1.fc40.x86_64
libattr-2.5.2-1.fc40.x86_64
libblkid-2.39.3-2.fc40.x86_64
libbrotli-1.1.0-1.fc40.x86_64
libcap-2.69-1.fc40.x86_64
libcap-ng-0.8.4-2.fc40.x86_64
libcom_err-1.47.0-2.fc39.x86_64
libcurl-8.5.0-1.fc40.x86_64
libeconf-0.5.2-1.fc40.x86_64
libevent-2.1.12-9.fc39.x86_64
libfdisk-2.39.3-2.fc40.x86_64
libffi-3.4.4-5.fc40.x86_64
libgcc-14.0.1-0.1.fc40.x86_64
libgomp-14.0.1-0.1.fc40.x86_64
libidn2-2.3.4-3.fc39.x86_64
libmount-2.39.3-2.fc40.x86_64
libnghttp2-1.58.0-1.fc40.x86_64
libnsl2-2.0.0-6.fc39.x86_64
libpkgconf-1.9.5-2.fc39.x86_64
libpsl-0.21.5-1.fc40.x86_64
libpwquality-1.4.5-6.fc39.x86_64
libselinux-3.6-2.fc40.x86_64
libsemanage-3.6-1.fc40.x86_64
libsepol-3.6-1.fc40.x86_64
libsmartcols-2.39.3-2.fc40.x86_64
libssh-0.10.6-2.fc40.x86_64
libssh-config-0.10.6-2.fc40.noarch
libstdc++-14.0.1-0.1.fc40.x86_64
libtasn1-4.19.0-3.fc39.x86_64
libtirpc-1.3.4-1.rc1.fc40.x86_64
libunistring-1.1-5.fc40.x86_64
libutempter-1.2.1-10.fc39.x86_64
libuuid-2.39.3-2.fc40.x86_64
libverto-0.3.2-6.fc39.x86_64
libxcrypt-4.4.36-4.fc40.x86_64
libxml2-2.12.4-1.fc40.x86_64
libzstd-1.5.5-4.fc39.x86_64
lua-libs-5.4.6-3.fc39.x86_64
lua-srpm-macros-1-9.fc39.noarch
lz4-libs-1.9.4-4.fc39.x86_64
mpfr-4.2.1-1.fc40.x86_64
ncurses-base-6.4-9.20240113.fc40.noarch
ncurses-libs-6.4-9.20240113.fc40.x86_64
ocaml-srpm-macros-9-1.fc40.noarch
openblas-srpm-macros-2-14.fc39.noarch
openldap-2.6.6-1.fc39.x86_64
openssl-libs-3.1.4-1.fc40.x86_64
p11-kit-0.25.3-1.fc40.x86_64
p11-kit-trust-0.25.3-1.fc40.x86_64
package-notes-srpm-macros-0.5-9.fc39.noarch
pam-1.5.3-9.fc40.x86_64
pam-libs-1.5.3-9.fc40.x86_64
patch-2.7.6-22.fc39.x86_64
pcre2-10.42-2.fc40.x86_64
pcre2-syntax-10.42-2.fc40.noarch
perl-srpm-macros-1-51.fc39.noarch
pkgconf-1.9.5-2.fc39.x86_64
pkgconf-m4-1.9.5-2.fc39.noarch
pkgconf-pkg-config-1.9.5-2.fc39.x86_64
popt-1.19-3.fc39.x86_64
publicsuffix-list-dafsa-20240107-1.fc40.noarch
pyproject-srpm-macros-1.11.0-1.fc40.noarch
python-srpm-macros-3.12-5.fc40.noarch
qt5-srpm-macros-5.15.12-1.fc40.noarch
qt6-srpm-macros-6.6.1-3.fc40.noarch
readline-8.2-4.fc39.x86_64
redhat-rpm-config-280-1.fc40.noarch
rpm-4.19.1-2.fc40.x86_64
rpm-build-4.19.1-2.fc40.x86_64
rpm-build-libs-4.19.1-2.fc40.x86_64
rpm-libs-4.19.1-2.fc40.x86_64
rpm-sequoia-1.5.0-2.fc40.x86_64
rust-srpm-macros-25.2-2.fc40.noarch
sed-4.8-14.fc39.x86_64
setup-2.14.5-1.fc40.noarch
shadow-utils-4.14.0-2.fc40.x86_64
sqlite-libs-3.45.0-1.fc40.x86_64
systemd-libs-255.2-2.fc40.x86_64
tar-1.35-2.fc40.x86_64
unzip-6.0-62.fc39.x86_64
util-linux-2.39.3-2.fc40.x86_64
util-linux-core-2.39.3-2.fc40.x86_64
which-2.21-40.fc39.x86_64
xxhash-libs-0.8.2-1.fc39.x86_64
xz-5.4.5-1.fc40.x86_64
xz-libs-5.4.5-1.fc40.x86_64
zig-srpm-macros-1-1.fc40.noarch
zip-3.0-39.fc40.x86_64
zlib-ng-compat-2.1.6-1.fc40.x86_64
zstd-1.5.5-4.fc39.x86_64
Start: buildsrpm
Start: rpmbuild -bs
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1705713496.207263/root/var/log/dnf5.log
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-ox9t0a2b/R-CRAN-glmmrBase/R-CRAN-glmmrBase.spec) Config(child) 0 minutes 16 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm)  Config(fedora-rawhide-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1705713496.207263/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.18.2-1.fc38.x86_64
  rpm-sequoia-1.4.0-3.fc38.x86_64
  python3-dnf-4.18.2-1.fc38.noarch
  python3-dnf-plugins-core-4.4.4-1.fc38.noarch
  yum-4.18.2-1.fc38.noarch
  dnf5-5.1.10-1.fc38.x86_64
  dnf5-plugins-5.1.10-1.fc38.x86_64
Finish: chroot init
Start: build phase for R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
Start: build setup for R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Updating and loading repositories:
 Copr repository                        100% |  64.0 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% |  72.9 KiB/s |  18.8 KiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:                                                                              
 R-CRAN-BH                   noarch 1.84.0.0-1.fc40.copr6880886      copr_base  121.0 MiB
 R-CRAN-Matrix               x86_64 1.6.5-1.fc40.copr6886765         copr_base    7.2 MiB
 R-CRAN-R6                   noarch 2.5.1-1.fc39.copr5812135         copr_base  117.0 KiB
 R-CRAN-Rcpp                 x86_64 1.0.12-1.fc40.copr6877523        copr_base    8.3 MiB
 R-CRAN-RcppEigen            x86_64 0.3.3.9.4-1.fc40.copr6596539     copr_base    7.2 MiB
 R-CRAN-RcppParallel         x86_64 5.1.7-1.fc39.copr5812289         copr_base  232.9 KiB
 R-CRAN-SparseChol           x86_64 0.3.1-1.fc40.copr6873823         copr_base  214.5 KiB
 R-core                      x86_64 4.3.2-2.fc40                     fedora      98.2 MiB
 R-devel                     x86_64 4.3.2-2.fc40                     fedora       0.0   B
Installing dependencies:                                                                 
 R-CRAN-lattice              x86_64 0.22.5-1.fc40.copr6562879        copr_base    2.0 MiB
 R-core-devel                x86_64 4.3.2-2.fc40                     fedora     374.8 KiB
 R-java                      x86_64 4.3.2-2.fc40                     fedora       0.0   B
 R-java-devel                x86_64 4.3.2-2.fc40                     fedora       0.0   B
 R-littler                   x86_64 0.3.19-1.fc40                    fedora     189.7 KiB
 R-rpm-macros                noarch 1.2.1-7.fc39                     fedora       5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-10.fc39                    fedora     192.3 KiB
 alsa-lib                    x86_64 1.2.10-3.fc40                    fedora       1.4 MiB
 annobin-docs                noarch 12.36-2.fc40                     fedora      95.6 KiB
 annobin-plugin-gcc          x86_64 12.36-2.fc40                     fedora     966.7 KiB
 avahi-libs                  x86_64 0.8-24.fc39                      fedora     170.0 KiB
 brotli                      x86_64 1.1.0-1.fc40                     fedora      31.7 KiB
 brotli-devel                x86_64 1.1.0-1.fc40                     fedora      65.6 KiB
 bzip2-devel                 x86_64 1.0.8-16.fc39                    fedora     309.8 KiB
 cairo                       x86_64 1.18.0-1.fc40                    fedora       1.7 MiB
 cmake-filesystem            x86_64 3.27.7-1.fc40                    fedora       0.0   B
 copy-jdk-configs            noarch 4.1-3.fc39                       fedora      20.3 KiB
 cpp                         x86_64 14.0.1-0.1.fc40                  fedora      34.7 MiB
 crypto-policies-scripts     noarch 20231204-1.git1e3a2e4.fc40       fedora     313.7 KiB
 cups-libs                   x86_64 1:2.4.7-7.fc40                   fedora     618.9 KiB
 dbus-libs                   x86_64 1:1.14.10-1.fc40                 fedora     372.8 KiB
 default-fonts-core-sans     noarch 4.0-9.fc40                       fedora      11.9 KiB
 desktop-file-utils          x86_64 0.26-9.fc39                      fedora     237.8 KiB
 emacs-filesystem            noarch 1:29.1-15.fc40                   fedora       0.0   B
 expat                       x86_64 2.5.0-3.fc39                     fedora     274.5 KiB
 flexiblas                   x86_64 3.4.1-1.fc40                     fedora      46.7 KiB
 flexiblas-devel             x86_64 3.4.1-1.fc40                     fedora       3.8 MiB
 flexiblas-netlib            x86_64 3.4.1-1.fc40                     fedora      10.3 MiB
 flexiblas-netlib64          x86_64 3.4.1-1.fc40                     fedora      10.4 MiB
 flexiblas-openblas-openmp   x86_64 3.4.1-1.fc40                     fedora      39.3 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.1-1.fc40                     fedora      39.3 KiB
 fontconfig                  x86_64 2.15.0-1.fc40                    fedora     770.5 KiB
 fontconfig-devel            x86_64 2.15.0-1.fc40                    fedora     117.2 KiB
 fonts-filesystem            noarch 1:2.0.5-12.fc39                  fedora       0.0   B
 freetype                    x86_64 2.13.2-1.fc40                    fedora     838.6 KiB
 freetype-devel              x86_64 2.13.2-1.fc40                    fedora       7.8 MiB
 fribidi                     x86_64 1.0.13-2.fc39                    fedora     369.1 KiB
 gc                          x86_64 8.2.2-4.fc39                     fedora     258.4 KiB
 gcc                         x86_64 14.0.1-0.1.fc40                  fedora     103.1 MiB
 gcc-c++                     x86_64 14.0.1-0.1.fc40                  fedora      37.8 MiB
 gcc-gfortran                x86_64 14.0.1-0.1.fc40                  fedora      36.9 MiB
 gcc-plugin-annobin          x86_64 14.0.1-0.1.fc40                  fedora      57.1 KiB
 gettext                     x86_64 0.22-2.fc39                      fedora       5.0 MiB
 gettext-envsubst            x86_64 0.22-2.fc39                      fedora      74.8 KiB
 gettext-libs                x86_64 0.22-2.fc39                      fedora     920.6 KiB
 gettext-runtime             x86_64 0.22-2.fc39                      fedora     462.7 KiB
 glib2                       x86_64 2.79.0-6.fc40                    fedora      14.4 MiB
 glib2-devel                 x86_64 2.79.0-6.fc40                    fedora      15.0 MiB
 glibc-devel                 x86_64 2.38.9000-33.fc40                fedora      37.1 KiB
 glibc-headers-x86           noarch 2.38.9000-33.fc40                fedora       2.2 MiB
 gnutls                      x86_64 3.8.2-2.fc40                     fedora       3.2 MiB
 google-noto-fonts-common    noarch 20230801-4.fc40                  fedora      17.4 KiB
 google-noto-sans-vf-fonts   noarch 20230801-4.fc40                  fedora       1.2 MiB
 graphite2                   x86_64 1.3.14-13.fc40                   fedora     195.8 KiB
 graphite2-devel             x86_64 1.3.14-13.fc40                   fedora      49.1 KiB
 guile22                     x86_64 2.2.7-9.fc39                     fedora      43.7 MiB
 harfbuzz                    x86_64 8.3.0-2.fc40                     fedora       2.5 MiB
 harfbuzz-devel              x86_64 8.3.0-2.fc40                     fedora       5.1 MiB
 harfbuzz-icu                x86_64 8.3.0-2.fc40                     fedora      15.4 KiB
 hwloc-libs                  x86_64 2.10.0-1.fc40                    fedora       2.8 MiB
 java-17-openjdk             x86_64 1:17.0.9.0.9-3.fc40              fedora       1.0 MiB
 java-17-openjdk-devel       x86_64 1:17.0.9.0.9-3.fc40              fedora       8.9 MiB
 java-17-openjdk-headless    x86_64 1:17.0.9.0.9-3.fc40              fedora     186.0 MiB
 javapackages-filesystem     noarch 6.2.0-5.fc40                     fedora       1.9 KiB
 jbigkit-libs                x86_64 2.1-27.fc40                      fedora     117.4 KiB
 kernel-headers              x86_64 6.7.0-68.fc40                    fedora       6.1 MiB
 libICE                      x86_64 1.1.1-1.fc40                     fedora     185.1 KiB
 libRmath                    x86_64 4.3.2-2.fc40                     fedora     238.7 KiB
 libRmath-devel              x86_64 4.3.2-2.fc40                     fedora      17.3 KiB
 libSM                       x86_64 1.2.4-1.fc40                     fedora      97.2 KiB
 libX11                      x86_64 1.8.7-1.fc40                     fedora       1.3 MiB
 libX11-common               noarch 1.8.7-1.fc40                     fedora       1.1 MiB
 libX11-devel                x86_64 1.8.7-1.fc40                     fedora       1.0 MiB
 libX11-xcb                  x86_64 1.8.7-1.fc40                     fedora      14.9 KiB
 libXau                      x86_64 1.0.11-4.fc40                    fedora      66.8 KiB
 libXau-devel                x86_64 1.0.11-4.fc40                    fedora       6.4 KiB
 libXcomposite               x86_64 0.4.6-1.fc40                     fedora      44.5 KiB
 libXext                     x86_64 1.3.5-4.fc40                     fedora      90.0 KiB
 libXft                      x86_64 2.3.8-4.fc40                     fedora     164.4 KiB
 libXft-devel                x86_64 2.3.8-4.fc40                     fedora      31.7 KiB
 libXi                       x86_64 1.8.1-3.fc40                     fedora      80.6 KiB
 libXmu                      x86_64 1.1.4-4.fc40                     fedora     187.7 KiB
 libXrender                  x86_64 0.9.11-4.fc40                    fedora      46.0 KiB
 libXrender-devel            x86_64 0.9.11-4.fc40                    fedora      50.1 KiB
 libXt                       x86_64 1.3.0-1.fc40                     fedora     433.8 KiB
 libXtst                     x86_64 1.2.4-4.fc40                     fedora      33.5 KiB
 libb2                       x86_64 0.98.1-9.fc39                    fedora      42.1 KiB
 libblkid-devel              x86_64 2.39.3-2.fc40                    fedora      19.3 KiB
 libdatrie                   x86_64 0.2.13-7.fc39                    fedora      57.8 KiB
 libffi-devel                x86_64 3.4.4-5.fc40                     fedora      33.3 KiB
 libfontenc                  x86_64 1.1.7-1.fc40                     fedora      68.9 KiB
 libgfortran                 x86_64 14.0.1-0.1.fc40                  fedora       2.9 MiB
 libicu                      x86_64 73.2-3.fc40                      fedora      36.3 MiB
 libicu-devel                x86_64 73.2-3.fc40                      fedora       5.5 MiB
 libjpeg-turbo               x86_64 2.1.4-3.fc39                     fedora     652.4 KiB
 liblerc                     x86_64 4.0.0-4.fc39                     fedora     591.3 KiB
 libmount-devel              x86_64 2.39.3-2.fc40                    fedora      37.5 KiB
 libmpc                      x86_64 1.3.1-3.fc39                     fedora     164.6 KiB
 libpng                      x86_64 2:1.6.40-1.fc40                  fedora     237.7 KiB
 libpng-devel                x86_64 2:1.6.40-1.fc40                  fedora     885.4 KiB
 libquadmath                 x86_64 14.0.1-0.1.fc40                  fedora     329.9 KiB
 libquadmath-devel           x86_64 14.0.1-0.1.fc40                  fedora      21.6 KiB
 libselinux-devel            x86_64 3.6-2.fc40                       fedora     126.1 KiB
 libsepol-devel              x86_64 3.6-1.fc40                       fedora     120.2 KiB
 libstdc++-devel             x86_64 14.0.1-0.1.fc40                  fedora      14.5 MiB
 libthai                     x86_64 0.1.29-6.fc39                    fedora     779.4 KiB
 libtiff                     x86_64 4.5.0-3.fc40                     fedora       1.1 MiB
 libtirpc-devel              x86_64 1.3.4-1.rc1.fc40                 fedora     251.5 KiB
 libtool-ltdl                x86_64 2.4.7-9.fc40                     fedora      66.2 KiB
 libwebp                     x86_64 1.3.2-2.fc40                     fedora     781.4 KiB
 libxcb                      x86_64 1.16-2.fc40                      fedora       1.1 MiB
 libxcb-devel                x86_64 1.16-2.fc40                      fedora       2.7 MiB
 libxcrypt-devel             x86_64 4.4.36-4.fc40                    fedora      30.3 KiB
 libxml2-devel               x86_64 2.12.4-1.fc40                    fedora       3.4 MiB
 lksctp-tools                x86_64 1.0.19-4.fc39                    fedora     269.1 KiB
 lua                         x86_64 5.4.6-3.fc39                     fedora     601.6 KiB
 lua-posix                   x86_64 36.2.1-3.fc39                    fedora     613.3 KiB
 make                        x86_64 1:4.4.1-2.fc39                   fedora       1.8 MiB
 mkfontscale                 x86_64 1.2.2-4.fc39                     fedora      53.1 KiB
 mpdecimal                   x86_64 2.5.1-7.fc39                     fedora     200.8 KiB
 nettle                      x86_64 3.9.1-2.fc39                     fedora     793.9 KiB
 nspr                        x86_64 4.35.0-17.fc40                   fedora     320.4 KiB
 nss                         x86_64 3.96.1-1.fc40                    fedora       1.9 MiB
 nss-softokn                 x86_64 3.96.1-1.fc40                    fedora       1.9 MiB
 nss-softokn-freebl          x86_64 3.96.1-1.fc40                    fedora     819.6 KiB
 nss-sysinit                 x86_64 3.96.1-1.fc40                    fedora      18.2 KiB
 nss-util                    x86_64 3.96.1-1.fc40                    fedora     222.1 KiB
 openblas                    x86_64 0.3.26-1.fc40                    fedora      96.0 KiB
 openblas-openmp             x86_64 0.3.26-1.fc40                    fedora      38.3 MiB
 openblas-openmp64           x86_64 0.3.26-1.fc40                    fedora      38.5 MiB
 pango                       x86_64 1.51.0-1.fc40                    fedora       1.0 MiB
 pcre2-devel                 x86_64 10.42-2.fc40                     fedora       1.9 MiB
 pcre2-utf16                 x86_64 10.42-2.fc40                     fedora     566.1 KiB
 pcre2-utf32                 x86_64 10.42-2.fc40                     fedora     538.0 KiB
 pixman                      x86_64 0.43.0-1.fc40                    fedora     694.1 KiB
 python-pip-wheel            noarch 23.3.1-3.fc40                    fedora       1.5 MiB
 python3                     x86_64 3.12.1-2.fc40                    fedora      31.8 KiB
 python3-libs                x86_64 3.12.1-2.fc40                    fedora      41.7 MiB
 python3-packaging           noarch 23.2-2.fc40                      fedora     421.1 KiB
 sysprof-capture-devel       x86_64 45.1-1.fc40                      fedora     252.4 KiB
 tbb                         x86_64 2021.11.0-2.fc40                 fedora     440.9 KiB
 tbb-bind                    x86_64 2021.11.0-2.fc40                 fedora      23.7 KiB
 tbb-devel                   x86_64 2021.11.0-2.fc40                 fedora       1.3 MiB
 tbb2020.3                   x86_64 2020.3-3.fc40                    fedora     283.4 KiB
 tcl                         x86_64 1:8.6.13-1.fc40                  fedora       4.2 MiB
 tcl-devel                   x86_64 1:8.6.13-1.fc40                  fedora     808.9 KiB
 tk                          x86_64 1:8.6.13-2.fc40                  fedora       3.7 MiB
 tk-devel                    x86_64 1:8.6.13-2.fc40                  fedora     983.9 KiB
 tre                         x86_64 0.8.0-42.20140228gitc2f5d13.fc40 fedora      75.8 KiB
 tre-common                  noarch 0.8.0-42.20140228gitc2f5d13.fc40 fedora      81.0 KiB
 tre-devel                   x86_64 0.8.0-42.20140228gitc2f5d13.fc40 fedora      10.7 KiB
 ttmkfdir                    x86_64 3.0.9-69.fc39                    fedora     122.6 KiB
 tzdata                      noarch 2023d-1.fc40                     fedora       1.6 MiB
 tzdata-java                 noarch 2023d-1.fc40                     fedora     101.5 KiB
 xdg-utils                   noarch 1.2.0~git20231511.21fb316-1.fc40 fedora     327.5 KiB
 xml-common                  noarch 0.6.3-62.fc40                    fedora      78.4 KiB
 xorg-x11-fonts-Type1        noarch 7.5-37.fc40                      fedora     863.3 KiB
 xorg-x11-proto-devel        noarch 2023.2-3.fc40                    fedora       1.7 MiB
 xz-devel                    x86_64 5.4.5-1.fc40                     fedora     255.8 KiB
 zlib-ng-compat-devel        x86_64 2.1.6-1.fc40                     fedora     103.4 KiB

Transaction Summary:
 Installing:      169 packages

Total size of inbound packages is 293 MiB. Need to download 293 MiB.
After this operation 1 GiB will be used (install 1 GiB, remove 0 B).
[  1/169] R-CRAN-R6-0:2.5.1-1.fc39.copr 100% |   3.0 MiB/s |  95.9 KiB |  00m00s
[  2/169] R-CRAN-Matrix-0:1.6.5-1.fc40. 100% |  70.6 MiB/s |   4.1 MiB |  00m00s
[  3/169] R-CRAN-Rcpp-0:1.0.12-1.fc40.c 100% |  41.4 MiB/s |   2.0 MiB |  00m00s
[  4/169] R-CRAN-BH-0:1.84.0.0-1.fc40.c 100% |  81.6 MiB/s |   9.8 MiB |  00m00s
[  5/169] R-CRAN-RcppEigen-0:0.3.3.9.4- 100% |  18.0 MiB/s |   1.2 MiB |  00m00s
[  6/169] R-CRAN-RcppParallel-0:5.1.7-1 100% |   2.9 MiB/s | 139.6 KiB |  00m00s
[  7/169] R-CRAN-SparseChol-0:0.3.1-1.f 100% |   4.5 MiB/s | 100.9 KiB |  00m00s
[  8/169] R-CRAN-lattice-0:0.22.5-1.fc4 100% |  71.3 MiB/s |   1.4 MiB |  00m00s
[  9/169] R-devel-0:4.3.2-2.fc40.x86_64 100% |  84.6 KiB/s |  10.2 KiB |  00m00s
[ 10/169] R-littler-0:0.3.19-1.fc40.x86 100% | 655.3 KiB/s |  76.0 KiB |  00m00s
[ 11/169] tbb2020.3-0:2020.3-3.fc40.x86 100% |   1.0 MiB/s | 111.8 KiB |  00m00s
[ 12/169] flexiblas-netlib-0:3.4.1-1.fc 100% |   8.8 MiB/s |   3.2 MiB |  00m00s
[ 13/169] R-core-devel-0:4.3.2-2.fc40.x 100% |   1.6 MiB/s |  93.6 KiB |  00m00s
[ 14/169] R-java-devel-0:4.3.2-2.fc40.x 100% | 276.3 KiB/s |  10.2 KiB |  00m00s
[ 15/169] R-rpm-macros-0:1.2.1-7.fc39.n 100% | 271.0 KiB/s |  11.1 KiB |  00m00s
[ 16/169] glib2-0:2.79.0-6.fc40.x86_64  100% |  37.3 MiB/s |   3.0 MiB |  00m00s
[ 17/169] cairo-0:1.18.0-1.fc40.x86_64  100% |   5.5 MiB/s | 710.1 KiB |  00m00s
[ 18/169] libRmath-0:4.3.2-2.fc40.x86_6 100% |   2.5 MiB/s | 121.9 KiB |  00m00s
[ 19/169] libX11-0:1.8.7-1.fc40.x86_64  100% |  10.9 MiB/s | 646.6 KiB |  00m00s
[ 20/169] libXmu-0:1.1.4-4.fc40.x86_64  100% |   1.5 MiB/s |  76.4 KiB |  00m00s
[ 21/169] libXt-0:1.3.0-1.fc40.x86_64   100% |   2.4 MiB/s | 179.1 KiB |  00m00s
[ 22/169] libjpeg-turbo-0:2.1.4-3.fc39. 100% |   2.0 MiB/s | 183.0 KiB |  00m00s
[ 23/169] libpng-2:1.6.40-1.fc40.x86_64 100% | 948.6 KiB/s | 118.6 KiB |  00m00s
[ 24/169] libicu-0:73.2-3.fc40.x86_64   100% |  31.3 MiB/s |  10.5 MiB |  00m00s
[ 25/169] libtiff-0:4.5.0-3.fc40.x86_64 100% |   5.3 MiB/s | 304.6 KiB |  00m00s
[ 26/169] pango-0:1.51.0-1.fc40.x86_64  100% |   3.1 MiB/s | 343.2 KiB |  00m00s
[ 27/169] tcl-1:8.6.13-1.fc40.x86_64    100% |   7.0 MiB/s |   1.1 MiB |  00m00s
[ 28/169] tk-1:8.6.13-2.fc40.x86_64     100% |  21.7 MiB/s |   1.6 MiB |  00m00s
[ 29/169] tre-0:0.8.0-42.20140228gitc2f 100% |   1.0 MiB/s |  43.0 KiB |  00m00s
[ 30/169] xdg-utils-0:1.2.0~git20231511 100% |   1.3 MiB/s |  80.8 KiB |  00m00s
[ 31/169] flexiblas-0:3.4.1-1.fc40.x86_ 100% | 591.7 KiB/s |  24.9 KiB |  00m00s
[ 32/169] flexiblas-openblas-openmp-0:3 100% | 355.4 KiB/s |  17.4 KiB |  00m00s
[ 33/169] libgfortran-0:14.0.1-0.1.fc40 100% |  11.8 MiB/s | 915.8 KiB |  00m00s
[ 34/169] libquadmath-0:14.0.1-0.1.fc40 100% |   2.7 MiB/s | 180.3 KiB |  00m00s
[ 35/169] libRmath-devel-0:4.3.2-2.fc40 100% | 266.3 KiB/s |  15.7 KiB |  00m00s
[ 36/169] R-java-0:4.3.2-2.fc40.x86_64  100% | 123.5 KiB/s |  10.7 KiB |  00m00s
[ 37/169] make-1:4.4.1-2.fc39.x86_64    100% |   4.1 MiB/s | 588.8 KiB |  00m00s
[ 38/169] fontconfig-0:2.15.0-1.fc40.x8 100% |   5.1 MiB/s | 268.1 KiB |  00m00s
[ 39/169] freetype-0:2.13.2-1.fc40.x86_ 100% |  10.2 MiB/s | 408.1 KiB |  00m00s
[ 40/169] libXext-0:1.3.5-4.fc40.x86_64 100% | 577.3 KiB/s |  38.7 KiB |  00m00s
[ 41/169] java-17-openjdk-devel-1:17.0. 100% |  23.6 MiB/s |   4.7 MiB |  00m00s
[ 42/169] libXrender-0:0.9.11-4.fc40.x8 100% | 573.1 KiB/s |  26.9 KiB |  00m00s
[ 43/169] libxcb-0:1.16-2.fc40.x86_64   100% |   4.8 MiB/s | 237.7 KiB |  00m00s
[ 44/169] pixman-0:0.43.0-1.fc40.x86_64 100% |   4.0 MiB/s | 287.6 KiB |  00m00s
[ 45/169] gnutls-0:3.8.2-2.fc40.x86_64  100% |  16.5 MiB/s |   1.1 MiB |  00m00s
[ 46/169] libX11-common-0:1.8.7-1.fc40. 100% |   4.9 MiB/s | 176.0 KiB |  00m00s
[ 47/169] libICE-0:1.1.1-1.fc40.x86_64  100% |   1.6 MiB/s |  74.5 KiB |  00m00s
[ 48/169] libSM-0:1.2.4-1.fc40.x86_64   100% |   1.0 MiB/s |  42.8 KiB |  00m00s
[ 49/169] jbigkit-libs-0:2.1-27.fc40.x8 100% | 804.6 KiB/s |  53.1 KiB |  00m00s
[ 50/169] liblerc-0:4.0.0-4.fc39.x86_64 100% |   1.7 MiB/s | 201.0 KiB |  00m00s
[ 51/169] libwebp-0:1.3.2-2.fc40.x86_64 100% |   2.6 MiB/s | 283.8 KiB |  00m00s
[ 52/169] fribidi-0:1.0.13-2.fc39.x86_6 100% |   1.7 MiB/s |  90.7 KiB |  00m00s
[ 53/169] libXft-0:2.3.8-4.fc40.x86_64  100% |   1.1 MiB/s |  72.2 KiB |  00m00s
[ 54/169] harfbuzz-0:8.3.0-2.fc40.x86_6 100% |   8.9 MiB/s | 995.2 KiB |  00m00s
[ 55/169] libthai-0:0.1.29-6.fc39.x86_6 100% |   3.1 MiB/s | 213.4 KiB |  00m00s
[ 56/169] tre-common-0:0.8.0-42.2014022 100% | 347.4 KiB/s |  31.3 KiB |  00m00s
[ 57/169] desktop-file-utils-0:0.26-9.f 100% |   1.1 MiB/s |  72.0 KiB |  00m00s
[ 58/169] R-core-0:4.3.2-2.fc40.x86_64  100% |  25.6 MiB/s |  63.4 MiB |  00m02s
[ 59/169] openblas-openmp-0:0.3.26-1.fc 100% |  15.9 MiB/s |   5.0 MiB |  00m00s
[ 60/169] java-17-openjdk-1:17.0.9.0.9- 100% |   6.6 MiB/s | 406.6 KiB |  00m00s
[ 61/169] guile22-0:2.2.7-9.fc39.x86_64 100% |  16.0 MiB/s |   6.5 MiB |  00m00s
[ 62/169] default-fonts-core-sans-0:4.0 100% | 667.8 KiB/s |  32.1 KiB |  00m00s
[ 63/169] fonts-filesystem-1:2.0.5-12.f 100% | 169.9 KiB/s |   8.2 KiB |  00m00s
[ 64/169] xml-common-0:0.6.3-62.fc40.no 100% | 595.8 KiB/s |  31.0 KiB |  00m00s
[ 65/169] libXau-0:1.0.11-4.fc40.x86_64 100% | 654.7 KiB/s |  31.4 KiB |  00m00s
[ 66/169] nettle-0:3.9.1-2.fc39.x86_64  100% |   6.9 MiB/s | 424.6 KiB |  00m00s
[ 67/169] graphite2-0:1.3.14-13.fc40.x8 100% |   1.8 MiB/s |  95.2 KiB |  00m00s
[ 68/169] libdatrie-0:0.2.13-7.fc39.x86 100% | 513.8 KiB/s |  31.9 KiB |  00m00s
[ 69/169] emacs-filesystem-1:29.1-15.fc 100% | 178.3 KiB/s |   7.5 KiB |  00m00s
[ 70/169] gc-0:8.2.2-4.fc39.x86_64      100% |   2.1 MiB/s | 110.4 KiB |  00m00s
[ 71/169] libtool-ltdl-0:2.4.7-9.fc40.x 100% | 603.4 KiB/s |  36.2 KiB |  00m00s
[ 72/169] alsa-lib-0:1.2.10-3.fc40.x86_ 100% |   9.3 MiB/s | 522.0 KiB |  00m00s
[ 73/169] copy-jdk-configs-0:4.1-3.fc39 100% | 656.1 KiB/s |  27.6 KiB |  00m00s
[ 74/169] javapackages-filesystem-0:6.2 100% | 313.2 KiB/s |  12.5 KiB |  00m00s
[ 75/169] lksctp-tools-0:1.0.19-4.fc39. 100% |   1.8 MiB/s |  92.2 KiB |  00m00s
[ 76/169] libXcomposite-0:0.4.6-1.fc40. 100% | 369.8 KiB/s |  24.0 KiB |  00m00s
[ 77/169] tzdata-java-0:2023d-1.fc40.no 100% | 491.5 KiB/s |  46.7 KiB |  00m00s
[ 78/169] libXi-0:1.8.1-3.fc40.x86_64   100% | 781.7 KiB/s |  39.9 KiB |  00m00s
[ 79/169] libXtst-0:1.2.4-4.fc40.x86_64 100% | 493.8 KiB/s |  20.2 KiB |  00m00s
[ 80/169] abattis-cantarell-vf-fonts-0: 100% |   2.1 MiB/s | 120.6 KiB |  00m00s
[ 81/169] xorg-x11-fonts-Type1-0:7.5-37 100% |   6.4 MiB/s | 504.1 KiB |  00m00s
[ 82/169] lua-posix-0:36.2.1-3.fc39.x86 100% |   2.2 MiB/s | 143.0 KiB |  00m00s
[ 83/169] google-noto-sans-vf-fonts-0:2 100% |   5.8 MiB/s | 583.4 KiB |  00m00s
[ 84/169] mkfontscale-0:1.2.2-4.fc39.x8 100% | 562.3 KiB/s |  32.0 KiB |  00m00s
[ 85/169] ttmkfdir-0:3.0.9-69.fc39.x86_ 100% | 672.6 KiB/s |  55.8 KiB |  00m00s
[ 86/169] google-noto-fonts-common-0:20 100% | 303.2 KiB/s |  17.3 KiB |  00m00s
[ 87/169] libfontenc-0:1.1.7-1.fc40.x86 100% | 603.4 KiB/s |  32.0 KiB |  00m00s
[ 88/169] openblas-0:0.3.26-1.fc40.x86_ 100% | 739.0 KiB/s |  38.4 KiB |  00m00s
[ 89/169] cups-libs-1:2.4.7-7.fc40.x86_ 100% |   5.6 MiB/s | 258.6 KiB |  00m00s
[ 90/169] avahi-libs-0:0.8-24.fc39.x86_ 100% |   1.6 MiB/s |  66.8 KiB |  00m00s
[ 91/169] dbus-libs-1:1.14.10-1.fc40.x8 100% |   1.6 MiB/s | 155.5 KiB |  00m00s
[ 92/169] nss-0:3.96.1-1.fc40.x86_64    100% |   5.3 MiB/s | 695.6 KiB |  00m00s
[ 93/169] crypto-policies-scripts-0:202 100% |   1.4 MiB/s | 117.1 KiB |  00m00s
[ 94/169] nspr-0:4.35.0-17.fc40.x86_64  100% |   2.1 MiB/s | 137.7 KiB |  00m00s
[ 95/169] nss-sysinit-0:3.96.1-1.fc40.x 100% | 346.6 KiB/s |  18.4 KiB |  00m00s
[ 96/169] nss-softokn-0:3.96.1-1.fc40.x 100% |   4.7 MiB/s | 413.8 KiB |  00m00s
[ 97/169] nss-util-0:3.96.1-1.fc40.x86_ 100% |   1.5 MiB/s |  87.1 KiB |  00m00s
[ 98/169] nss-softokn-freebl-0:3.96.1-1 100% |   5.5 MiB/s | 351.0 KiB |  00m00s
[ 99/169] python3-0:3.12.1-2.fc40.x86_6 100% | 563.6 KiB/s |  26.5 KiB |  00m00s
[100/169] java-17-openjdk-headless-1:17 100% |  30.4 MiB/s |  44.5 MiB |  00m01s
[101/169] expat-0:2.5.0-3.fc39.x86_64   100% | 648.8 KiB/s | 110.3 KiB |  00m00s
[102/169] libb2-0:0.98.1-9.fc39.x86_64  100% | 518.7 KiB/s |  25.4 KiB |  00m00s
[103/169] mpdecimal-0:2.5.1-7.fc39.x86_ 100% |   1.7 MiB/s |  88.6 KiB |  00m00s
[104/169] python-pip-wheel-0:23.3.1-3.f 100% |  11.2 MiB/s |   1.5 MiB |  00m00s
[105/169] tzdata-0:2023d-1.fc40.noarch  100% |   5.3 MiB/s | 718.0 KiB |  00m00s
[106/169] python3-libs-0:3.12.1-2.fc40. 100% |  21.4 MiB/s |   9.2 MiB |  00m00s
[107/169] lua-0:5.4.6-3.fc39.x86_64     100% |   3.2 MiB/s | 190.9 KiB |  00m00s
[108/169] bzip2-devel-0:1.0.8-16.fc39.x 100% |   3.5 MiB/s | 213.7 KiB |  00m00s
[109/169] flexiblas-devel-0:3.4.1-1.fc4 100% |   2.3 MiB/s | 116.7 KiB |  00m00s
[110/169] flexiblas-openblas-openmp64-0 100% | 379.4 KiB/s |  17.5 KiB |  00m00s
[111/169] flexiblas-netlib64-0:3.4.1-1. 100% |  20.1 MiB/s |   3.0 MiB |  00m00s
[112/169] openblas-openmp64-0:0.3.26-1. 100% |  28.9 MiB/s |   4.9 MiB |  00m00s
[113/169] libmpc-0:1.3.1-3.fc39.x86_64  100% |   1.3 MiB/s |  70.4 KiB |  00m00s
[114/169] annobin-plugin-gcc-0:12.36-2. 100% |   8.2 MiB/s | 957.0 KiB |  00m00s
[115/169] gcc-c++-0:14.0.1-0.1.fc40.x86 100% |  37.0 MiB/s |  14.1 MiB |  00m00s
[116/169] gcc-plugin-annobin-0:14.0.1-0 100% | 613.7 KiB/s |  31.3 KiB |  00m00s
[117/169] annobin-docs-0:12.36-2.fc40.n 100% |   1.4 MiB/s |  90.0 KiB |  00m00s
[118/169] gcc-gfortran-0:14.0.1-0.1.fc4 100% |  15.2 MiB/s |  13.3 MiB |  00m01s
[119/169] cpp-0:14.0.1-0.1.fc40.x86_64  100% |  11.6 MiB/s |  11.9 MiB |  00m01s
[120/169] libX11-devel-0:1.8.7-1.fc40.x 100% |   9.7 MiB/s |   1.0 MiB |  00m00s
[121/169] libX11-xcb-0:1.8.7-1.fc40.x86 100% | 201.8 KiB/s |  11.9 KiB |  00m00s
[122/169] xorg-x11-proto-devel-0:2023.2 100% |   5.5 MiB/s | 297.6 KiB |  00m00s
[123/169] libicu-devel-0:73.2-3.fc40.x8 100% |  10.4 MiB/s | 924.3 KiB |  00m00s
[124/169] libtirpc-devel-0:1.3.4-1.rc1. 100% |   1.7 MiB/s | 125.7 KiB |  00m00s
[125/169] pcre2-utf16-0:10.42-2.fc40.x8 100% |   3.8 MiB/s | 212.6 KiB |  00m00s
[126/169] pcre2-devel-0:10.42-2.fc40.x8 100% |   6.3 MiB/s | 504.9 KiB |  00m00s
[127/169] pcre2-utf32-0:10.42-2.fc40.x8 100% |   4.3 MiB/s | 200.1 KiB |  00m00s
[128/169] tcl-devel-1:8.6.13-1.fc40.x86 100% |   2.2 MiB/s | 169.8 KiB |  00m00s
[129/169] tk-devel-1:8.6.13-2.fc40.x86_ 100% |   5.5 MiB/s | 540.9 KiB |  00m00s
[130/169] xz-devel-0:5.4.5-1.fc40.x86_6 100% |   1.3 MiB/s |  66.5 KiB |  00m00s
[131/169] tre-devel-0:0.8.0-42.20140228 100% | 101.7 KiB/s |  11.9 KiB |  00m00s
[132/169] zlib-ng-compat-devel-0:2.1.6- 100% | 841.8 KiB/s |  36.2 KiB |  00m00s
[133/169] tbb-devel-0:2021.11.0-2.fc40. 100% |   2.7 MiB/s | 239.8 KiB |  00m00s
[134/169] cmake-filesystem-0:3.27.7-1.f 100% | 276.8 KiB/s |  19.1 KiB |  00m00s
[135/169] tbb-bind-0:2021.11.0-2.fc40.x 100% | 358.9 KiB/s |  18.7 KiB |  00m00s
[136/169] tbb-0:2021.11.0-2.fc40.x86_64 100% |   1.6 MiB/s | 163.4 KiB |  00m00s
[137/169] hwloc-libs-0:2.10.0-1.fc40.x8 100% |  15.6 MiB/s |   2.1 MiB |  00m00s
[138/169] libXft-devel-0:2.3.8-4.fc40.x 100% | 417.9 KiB/s |  50.2 KiB |  00m00s
[139/169] gcc-0:14.0.1-0.1.fc40.x86_64  100% |  16.8 MiB/s |  36.7 MiB |  00m02s
[140/169] fontconfig-devel-0:2.15.0-1.f 100% | 938.5 KiB/s | 165.2 KiB |  00m00s
[141/169] gettext-0:0.22-2.fc39.x86_64  100% |   7.0 MiB/s |   1.1 MiB |  00m00s
[142/169] gettext-envsubst-0:0.22-2.fc3 100% | 856.8 KiB/s |  36.0 KiB |  00m00s
[143/169] gettext-libs-0:0.22-2.fc39.x8 100% |   5.6 MiB/s | 327.5 KiB |  00m00s
[144/169] gettext-runtime-0:0.22-2.fc39 100% |   2.3 MiB/s | 119.5 KiB |  00m00s
[145/169] freetype-devel-0:2.13.2-1.fc4 100% |  17.9 MiB/s | 950.6 KiB |  00m00s
[146/169] libXrender-devel-0:0.9.11-4.f 100% | 355.2 KiB/s |  18.8 KiB |  00m00s
[147/169] libxcb-devel-0:1.16-2.fc40.x8 100% |  16.9 MiB/s |   1.4 MiB |  00m00s
[148/169] libquadmath-devel-0:14.0.1-0. 100% | 458.4 KiB/s |  20.2 KiB |  00m00s
[149/169] libstdc++-devel-0:14.0.1-0.1. 100% |  21.0 MiB/s |   2.7 MiB |  00m00s
[150/169] glibc-devel-0:2.38.9000-33.fc 100% |   1.1 MiB/s | 110.6 KiB |  00m00s
[151/169] glibc-headers-x86-0:2.38.9000 100% |   5.3 MiB/s | 598.9 KiB |  00m00s
[152/169] libxcrypt-devel-0:4.4.36-4.fc 100% | 517.1 KiB/s |  29.0 KiB |  00m00s
[153/169] brotli-devel-0:1.1.0-1.fc40.x 100% | 535.1 KiB/s |  33.7 KiB |  00m00s
[154/169] brotli-0:1.1.0-1.fc40.x86_64  100% | 387.4 KiB/s |  19.8 KiB |  00m00s
[155/169] harfbuzz-devel-0:8.3.0-2.fc40 100% |   7.4 MiB/s | 449.5 KiB |  00m00s
[156/169] libpng-devel-2:1.6.40-1.fc40. 100% |   5.7 MiB/s | 290.8 KiB |  00m00s
[157/169] harfbuzz-icu-0:8.3.0-2.fc40.x 100% | 189.5 KiB/s |  16.5 KiB |  00m00s
[158/169] libXau-devel-0:1.0.11-4.fc40. 100% | 225.4 KiB/s |  13.5 KiB |  00m00s
[159/169] libxml2-devel-0:2.12.4-1.fc40 100% |   6.3 MiB/s | 524.5 KiB |  00m00s
[160/169] python3-packaging-0:23.2-2.fc 100% |   3.4 MiB/s | 125.3 KiB |  00m00s
[161/169] graphite2-devel-0:1.3.14-13.f 100% | 395.3 KiB/s |  20.6 KiB |  00m00s
[162/169] glib2-devel-0:2.79.0-6.fc40.x 100% |  13.3 MiB/s |   1.4 MiB |  00m00s
[163/169] libffi-devel-0:3.4.4-5.fc40.x 100% | 642.3 KiB/s |  28.3 KiB |  00m00s
[164/169] kernel-headers-0:6.7.0-68.fc4 100% |  18.4 MiB/s |   1.6 MiB |  00m00s
[165/169] libmount-devel-0:2.39.3-2.fc4 100% | 236.1 KiB/s |  18.4 KiB |  00m00s
[166/169] libsepol-devel-0:3.6-1.fc40.x 100% | 760.6 KiB/s |  48.7 KiB |  00m00s
[167/169] libblkid-devel-0:2.39.3-2.fc4 100% | 397.4 KiB/s |  17.9 KiB |  00m00s
[168/169] libselinux-devel-0:3.6-2.fc40 100% |   1.2 MiB/s | 150.8 KiB |  00m00s
[169/169] sysprof-capture-devel-0:45.1- 100% | 561.8 KiB/s |  53.4 KiB |  00m00s
--------------------------------------------------------------------------------
[169/169] Total                         100% |  38.5 MiB/s | 293.5 MiB |  00m08s
Running transaction
[  1/171] Verify package files          100% | 170.0   B/s | 169.0   B |  00m01s
>>> Running pre-transaction scriptlet: copy-jdk-configs-0:4.1-3.fc39.noarch
>>> Stop pre-transaction scriptlet: copy-jdk-configs-0:4.1-3.fc39.noarch
>>> Running pre-transaction scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.f
>>> Stop pre-transaction scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.fc40
[  2/171] Prepare transaction           100% | 913.0   B/s | 169.0   B |  00m00s
[  3/171] Installing zlib-ng-compat-dev 100% | 102.0 MiB/s | 104.5 KiB |  00m00s
[  4/171] Installing nspr-0:4.35.0-17.f 100% | 314.7 MiB/s | 322.2 KiB |  00m00s
[  5/171] Installing libgfortran-0:14.0 100% | 419.9 MiB/s |   2.9 MiB |  00m00s
[  6/171] Installing nss-util-0:3.96.1- 100% | 217.9 MiB/s | 223.1 KiB |  00m00s
[  7/171] Installing xorg-x11-proto-dev 100% | 292.7 MiB/s |   1.8 MiB |  00m00s
[  8/171] Installing libmpc-0:1.3.1-3.f 100% | 162.2 MiB/s | 166.1 KiB |  00m00s
[  9/171] Installing libquadmath-0:14.0 100% | 323.5 MiB/s | 331.2 KiB |  00m00s
[ 10/171] Installing libpng-2:1.6.40-1. 100% | 233.4 MiB/s | 239.0 KiB |  00m00s
[ 11/171] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
[ 12/171] Installing tcl-1:8.6.13-1.fc4 100% | 328.3 MiB/s |   4.3 MiB |  00m00s
[ 13/171] Installing libicu-0:73.2-3.fc 100% | 427.3 MiB/s |  36.3 MiB |  00m00s
[ 14/171] Installing libicu-devel-0:73. 100% | 310.5 MiB/s |   5.6 MiB |  00m00s
[ 15/171] Installing tcl-devel-1:8.6.13 100% | 265.6 MiB/s | 816.0 KiB |  00m00s
[ 16/171] Installing gettext-libs-0:0.2 100% | 300.4 MiB/s | 922.9 KiB |  00m00s
[ 17/171] Installing tbb-0:2021.11.0-2. 100% | 216.7 MiB/s | 443.9 KiB |  00m00s
[ 18/171] Installing cmake-filesystem-0 100% |   7.1 MiB/s |   7.3 KiB |  00m00s
[ 19/171] Installing xz-devel-0:5.4.5-1 100% | 253.8 MiB/s | 259.9 KiB |  00m00s
[ 20/171] Installing bzip2-devel-0:1.0. 100% | 303.5 MiB/s | 310.7 KiB |  00m00s
[ 21/171] Installing openblas-0:0.3.26- 100% |  95.5 MiB/s |  97.8 KiB |  00m00s
[ 22/171] Installing graphite2-0:1.3.14 100% | 193.3 MiB/s | 197.9 KiB |  00m00s
[ 23/171] Installing libXau-0:1.0.11-4. 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[ 24/171] Installing libxcb-0:1.16-2.fc 100% | 275.5 MiB/s |   1.1 MiB |  00m00s
[ 25/171] Installing libICE-0:1.1.1-1.f 100% | 182.1 MiB/s | 186.5 KiB |  00m00s
[ 26/171] Installing libjpeg-turbo-0:2. 100% | 319.4 MiB/s | 654.1 KiB |  00m00s
[ 27/171] Installing libRmath-0:4.3.2-2 100% | 234.1 MiB/s | 239.7 KiB |  00m00s
[ 28/171] Installing libRmath-devel-0:4 100% |   0.0   B/s |  17.7 KiB |  00m00s
[ 29/171] Installing libSM-0:1.2.4-1.fc 100% |  96.3 MiB/s |  98.6 KiB |  00m00s
[ 30/171] Installing libXau-devel-0:1.0 100% |   1.6 MiB/s |   8.2 KiB |  00m00s
[ 31/171] Installing libxcb-devel-0:1.1 100% |  82.6 MiB/s |   3.1 MiB |  00m00s
[ 32/171] Installing graphite2-devel-0: 100% |   0.0   B/s |  50.6 KiB |  00m00s
[ 33/171] Installing openblas-openmp-0: 100% | 649.6 MiB/s |  38.3 MiB |  00m00s
[ 34/171] Installing openblas-openmp64- 100% | 675.8 MiB/s |  38.5 MiB |  00m00s
[ 35/171] Installing flexiblas-netlib64 100% | 454.1 MiB/s |  10.4 MiB |  00m00s
[ 36/171] Installing flexiblas-openblas 100% |   0.0   B/s |  40.2 KiB |  00m00s
[ 37/171] Installing flexiblas-0:3.4.1- 100% |   0.0   B/s |  47.9 KiB |  00m00s
[ 38/171] Installing flexiblas-openblas 100% |   0.0   B/s |  40.2 KiB |  00m00s
[ 39/171] Installing flexiblas-netlib-0 100% | 449.8 MiB/s |  10.3 MiB |  00m00s
[ 40/171] Installing flexiblas-devel-0: 100% | 628.4 MiB/s |   3.8 MiB |  00m00s
[ 41/171] Installing libxml2-devel-0:2. 100% | 427.0 MiB/s |   3.4 MiB |  00m00s
[ 42/171] Installing abattis-cantarell- 100% | 189.5 MiB/s | 194.1 KiB |  00m00s
[ 43/171] Installing libpng-devel-2:1.6 100% | 289.5 MiB/s | 889.3 KiB |  00m00s
[ 44/171] Installing cpp-0:14.0.1-0.1.f 100% | 423.5 MiB/s |  34.7 MiB |  00m00s
[ 45/171] Installing nss-softokn-freebl 100% | 267.5 MiB/s | 821.8 KiB |  00m00s
[ 46/171] Installing nss-softokn-0:3.96 100% | 380.3 MiB/s |   1.9 MiB |  00m00s
[ 47/171] Installing libblkid-devel-0:2 100% |   0.0   B/s |  20.4 KiB |  00m00s
[ 48/171] Installing sysprof-capture-de 100% | 249.3 MiB/s | 255.2 KiB |  00m00s
[ 49/171] Installing libsepol-devel-0:3 100% | 124.7 MiB/s | 127.7 KiB |  00m00s
[ 50/171] Installing libffi-devel-0:3.4 100% |  17.0 MiB/s |  34.9 KiB |  00m00s
[ 51/171] Installing kernel-headers-0:6 100% | 223.0 MiB/s |   6.2 MiB |  00m00s
[ 52/171] Installing brotli-0:1.1.0-1.f 100% |   0.0   B/s |  32.4 KiB |  00m00s
[ 53/171] Installing brotli-devel-0:1.1 100% |  33.2 MiB/s |  68.0 KiB |  00m00s
[ 54/171] Installing glibc-headers-x86- 100% | 187.7 MiB/s |   2.3 MiB |  00m00s
[ 55/171] Installing libxcrypt-devel-0: 100% |  31.8 MiB/s |  32.6 KiB |  00m00s
[ 56/171] Installing glibc-devel-0:2.38 100% |  13.3 MiB/s |  40.8 KiB |  00m00s
[ 57/171] Installing libstdc++-devel-0: 100% | 394.6 MiB/s |  14.6 MiB |  00m00s
[ 58/171] Installing gettext-envsubst-0 100% |  74.5 MiB/s |  76.2 KiB |  00m00s
[ 59/171] Installing gettext-runtime-0: 100% | 115.3 MiB/s | 472.1 KiB |  00m00s
[ 60/171] Installing gettext-0:0.22-2.f 100% | 362.2 MiB/s |   5.1 MiB |  00m00s
[ 61/171] Installing hwloc-libs-0:2.10. 100% | 570.8 MiB/s |   2.9 MiB |  00m00s
[ 62/171] Installing tbb-bind-0:2021.11 100% |  24.0 MiB/s |  24.6 KiB |  00m00s
[ 63/171] Installing tbb-devel-0:2021.1 100% | 268.9 MiB/s |   1.3 MiB |  00m00s
[ 64/171] Installing pcre2-utf32-0:10.4 100% | 526.2 MiB/s | 538.9 KiB |  00m00s
[ 65/171] Installing pcre2-utf16-0:10.4 100% | 276.8 MiB/s | 566.9 KiB |  00m00s
[ 66/171] Installing pcre2-devel-0:10.4 100% | 275.3 MiB/s |   1.9 MiB |  00m00s
[ 67/171] Installing libselinux-devel-0 100% |  39.2 MiB/s | 160.6 KiB |  00m00s
[ 68/171] Installing libmount-devel-0:2 100% |   0.0   B/s |  38.1 KiB |  00m00s
[ 69/171] Installing libtirpc-devel-0:1 100% | 128.4 MiB/s | 262.9 KiB |  00m00s
[ 70/171] Installing libX11-xcb-0:1.8.7 100% |   0.0   B/s |  15.8 KiB |  00m00s
[ 71/171] Installing annobin-docs-0:12. 100% |   0.0   B/s |  96.6 KiB |  00m00s
[ 72/171] Installing lua-0:5.4.6-3.fc39 100% | 118.1 MiB/s | 604.7 KiB |  00m00s
[ 73/171] Installing tzdata-0:2023d-1.f 100% |  65.8 MiB/s |   1.9 MiB |  00m00s
[ 74/171] Installing python-pip-wheel-0 100% | 759.8 MiB/s |   1.5 MiB |  00m00s
[ 75/171] Installing mpdecimal-0:2.5.1- 100% | 197.2 MiB/s | 202.0 KiB |  00m00s
[ 76/171] Installing libb2-0:0.98.1-9.f 100% |   0.0   B/s |  43.2 KiB |  00m00s
[ 77/171] Installing expat-0:2.5.0-3.fc 100% |  45.0 MiB/s | 276.6 KiB |  00m00s
[ 78/171] Installing python3-libs-0:3.1 100% | 353.7 MiB/s |  42.1 MiB |  00m00s
[ 79/171] Installing python3-0:3.12.1-2 100% |  32.7 MiB/s |  33.5 KiB |  00m00s
[ 80/171] Installing crypto-policies-sc 100% | 107.0 MiB/s | 328.6 KiB |  00m00s
[ 81/171] Installing nss-sysinit-0:3.96 100% |  18.9 MiB/s |  19.3 KiB |  00m00s
[ 82/171] Installing nss-0:3.96.1-1.fc4 100% | 169.8 MiB/s |   1.9 MiB |  00m00s
>>> Running post-install scriptlet: nss-0:3.96.1-1.fc40.x86_64
>>> Stop post-install scriptlet: nss-0:3.96.1-1.fc40.x86_64
[ 83/171] Installing python3-packaging- 100% | 210.9 MiB/s | 431.9 KiB |  00m00s
[ 84/171] Installing dbus-libs-1:1.14.1 100% | 182.6 MiB/s | 373.9 KiB |  00m00s
[ 85/171] Installing avahi-libs-0:0.8-2 100% | 168.5 MiB/s | 172.5 KiB |  00m00s
[ 86/171] Installing libfontenc-0:1.1.7 100% |  68.7 MiB/s |  70.3 KiB |  00m00s
[ 87/171] Installing google-noto-fonts- 100% |   0.0   B/s |  18.1 KiB |  00m00s
[ 88/171] Installing google-noto-sans-v 100% | 307.8 MiB/s |   1.2 MiB |  00m00s
[ 89/171] Installing default-fonts-core 100% |  17.8 MiB/s |  18.2 KiB |  00m00s
[ 90/171] Installing lua-posix-0:36.2.1 100% | 153.4 MiB/s | 628.5 KiB |  00m00s
[ 91/171] Installing copy-jdk-configs-0 100% |   0.0   B/s |  21.0 KiB |  00m00s
[ 92/171] Installing tzdata-java-0:2023 100% |   0.0   B/s | 101.9 KiB |  00m00s
[ 93/171] Installing lksctp-tools-0:1.0 100% | 133.5 MiB/s | 273.5 KiB |  00m00s
[ 94/171] Installing javapackages-files 100% |   5.2 MiB/s |   5.3 KiB |  00m00s
[ 95/171] Installing alsa-lib-0:1.2.10- 100% | 241.6 MiB/s |   1.4 MiB |  00m00s
[ 96/171] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[ 97/171] Installing gc-0:8.2.2-4.fc39. 100% |  84.9 MiB/s | 260.9 KiB |  00m00s
[ 98/171] Installing guile22-0:2.2.7-9. 100% | 487.2 MiB/s |  43.8 MiB |  00m00s
[ 99/171] Installing make-1:4.4.1-2.fc3 100% | 258.3 MiB/s |   1.8 MiB |  00m00s
[100/171] Installing gcc-0:14.0.1-0.1.f 100% | 466.9 MiB/s | 103.2 MiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
[101/171] Installing gcc-c++-0:14.0.1-0 100% | 425.4 MiB/s |  37.9 MiB |  00m00s
[102/171] Installing libquadmath-devel- 100% |  22.5 MiB/s |  23.1 KiB |  00m00s
[103/171] Installing gcc-gfortran-0:14. 100% | 434.6 MiB/s |  36.9 MiB |  00m00s
[104/171] Installing emacs-filesystem-1 100% |   0.0   B/s | 544.0   B |  00m00s
[105/171] Installing libdatrie-0:0.2.13 100% |  57.6 MiB/s |  58.9 KiB |  00m00s
[106/171] Installing libthai-0:0.1.29-6 100% | 381.4 MiB/s | 781.2 KiB |  00m00s
[107/171] Installing nettle-0:3.9.1-2.f 100% | 259.4 MiB/s | 797.0 KiB |  00m00s
[108/171] Installing gnutls-0:3.8.2-2.f 100% | 360.5 MiB/s |   3.2 MiB |  00m00s
[109/171] Installing glib2-0:2.79.0-6.f 100% | 412.3 MiB/s |  14.4 MiB |  00m00s
[110/171] Installing desktop-file-utils 100% | 117.9 MiB/s | 241.5 KiB |  00m00s
[111/171] Installing xdg-utils-0:1.2.0~ 100% | 161.5 MiB/s | 330.7 KiB |  00m00s
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[113/171] Installing cups-libs-1:2.4.7- 100% | 202.0 MiB/s | 620.4 KiB |  00m00s
[114/171] Installing java-17-openjdk-he 100% | 482.1 MiB/s | 186.1 MiB |  00m00s
>>> Running post-install scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.fc40
>>> Stop post-install scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.fc40.x8
>>> Running pre-install scriptlet: xml-common-0:0.6.3-62.fc40.noarch
>>> Stop pre-install scriptlet: xml-common-0:0.6.3-62.fc40.noarch
[115/171] Installing xml-common-0:0.6.3 100% |  79.2 MiB/s |  81.1 KiB |  00m00s
[116/171] Installing tre-common-0:0.8.0 100% |  81.2 MiB/s |  83.1 KiB |  00m00s
[117/171] Installing tre-0:0.8.0-42.201 100% |   0.0   B/s |  76.6 KiB |  00m00s
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[119/171] Installing fribidi-0:1.0.13-2 100% | 181.4 MiB/s | 371.6 KiB |  00m00s
[120/171] Installing libwebp-0:1.3.2-2. 100% | 255.7 MiB/s | 785.5 KiB |  00m00s
[121/171] Installing liblerc-0:4.0.0-4. 100% | 289.5 MiB/s | 592.9 KiB |  00m00s
[122/171] Installing jbigkit-libs-0:2.1 100% | 116.6 MiB/s | 119.4 KiB |  00m00s
[123/171] Installing libtiff-0:4.5.0-3. 100% | 280.8 MiB/s |   1.1 MiB |  00m00s
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[125/171] Installing libX11-0:1.8.7-1.f 100% | 322.3 MiB/s |   1.3 MiB |  00m00s
[126/171] Installing libXext-0:1.3.5-4. 100% |  89.1 MiB/s |  91.2 KiB |  00m00s
[127/171] Installing libXrender-0:0.9.1 100% |  23.1 MiB/s |  47.3 KiB |  00m00s
[128/171] Installing libX11-devel-0:1.8 100% |  86.1 MiB/s |   1.1 MiB |  00m00s
[129/171] Installing libXi-0:1.8.1-3.fc 100% |   0.0   B/s |  81.7 KiB |  00m00s
[130/171] Installing libXt-0:1.3.0-1.fc 100% | 212.4 MiB/s | 435.1 KiB |  00m00s
[131/171] Installing libXmu-0:1.1.4-4.f 100% | 185.2 MiB/s | 189.7 KiB |  00m00s
[132/171] Installing libXtst-0:1.2.4-4. 100% |   0.0   B/s |  34.6 KiB |  00m00s
[133/171] Installing libXrender-devel-0 100% |  49.8 MiB/s |  51.0 KiB |  00m00s
[134/171] Installing libXcomposite-0:0. 100% |   0.0   B/s |  46.0 KiB |  00m00s
[135/171] Installing pixman-0:0.43.0-1. 100% | 339.4 MiB/s | 695.2 KiB |  00m00s
[136/171] Installing cairo-0:1.18.0-1.f 100% | 349.5 MiB/s |   1.7 MiB |  00m00s
[137/171] Installing harfbuzz-0:8.3.0-2 100% | 363.4 MiB/s |   2.5 MiB |  00m00s
[138/171] Installing freetype-0:2.13.2- 100% | 273.5 MiB/s | 840.3 KiB |  00m00s
[139/171] Installing fontconfig-0:2.15. 100% | 773.7 KiB/s | 789.2 KiB |  00m01s
>>> Running post-install scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
>>> Stop post-install scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
[140/171] Installing libXft-0:2.3.8-4.f 100% |  14.7 MiB/s | 165.9 KiB |  00m00s
>>> Running pre-install scriptlet: tk-1:8.6.13-2.fc40.x86_64
>>> Stop pre-install scriptlet: tk-1:8.6.13-2.fc40.x86_64
[141/171] Installing tk-1:8.6.13-2.fc40 100% | 269.3 MiB/s |   3.8 MiB |  00m00s
[142/171] Installing pango-0:1.51.0-1.f 100% |  36.4 MiB/s |   1.0 MiB |  00m00s
[143/171] Installing R-core-0:4.3.2-2.f 100% | 269.8 MiB/s | 100.4 MiB |  00m00s
[144/171] Installing R-CRAN-lattice-0:0 100% | 161.7 MiB/s |   2.1 MiB |  00m00s
[145/171] Installing R-CRAN-Matrix-0:1. 100% | 166.1 MiB/s |   7.6 MiB |  00m00s
[146/171] Installing R-littler-0:0.3.19 100% |  63.8 MiB/s | 196.0 KiB |  00m00s
[147/171] Installing R-CRAN-Rcpp-0:1.0. 100% | 282.4 MiB/s |   8.5 MiB |  00m00s
[148/171] Installing R-rpm-macros-0:1.2 100% |   6.4 MiB/s |   6.6 KiB |  00m00s
[149/171] Installing R-java-0:4.3.2-2.f 100% |   0.0   B/s | 124.0   B |  00m00s
[150/171] Installing mkfontscale-0:1.2. 100% |  53.3 MiB/s |  54.5 KiB |  00m00s
[151/171] Installing ttmkfdir-0:3.0.9-6 100% | 120.8 MiB/s | 123.7 KiB |  00m00s
[152/171] Installing xorg-x11-fonts-Typ 100% |  25.6 MiB/s | 865.6 KiB |  00m00s
>>> Running post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-37.fc40.noarch
>>> Stop post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-37.fc40.noarch
[153/171] Installing java-17-openjdk-1: 100% | 100.3 MiB/s |   1.0 MiB |  00m00s
>>> Running post-install scriptlet: java-17-openjdk-1:17.0.9.0.9-3.fc40.x86_64
>>> Stop post-install scriptlet: java-17-openjdk-1:17.0.9.0.9-3.fc40.x86_64
[154/171] Installing java-17-openjdk-de 100% | 371.1 MiB/s |   8.9 MiB |  00m00s
>>> Running post-install scriptlet: java-17-openjdk-devel-1:17.0.9.0.9-3.fc40.x8
>>> Stop post-install scriptlet: java-17-openjdk-devel-1:17.0.9.0.9-3.fc40.x86_6
[155/171] Installing harfbuzz-icu-0:8.3 100% |  15.9 MiB/s |  16.3 KiB |  00m00s
[156/171] Installing freetype-devel-0:2 100% | 413.5 MiB/s |   7.9 MiB |  00m00s
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[158/171] Installing fontconfig-devel-0 100% |  37.1 MiB/s | 151.9 KiB |  00m00s
[159/171] Installing libXft-devel-0:2.3 100% |  21.6 MiB/s |  44.3 KiB |  00m00s
[160/171] Installing tk-devel-1:8.6.13- 100% | 168.3 MiB/s |   1.0 MiB |  00m00s
[161/171] Installing R-core-devel-0:4.3 100% | 186.2 MiB/s | 381.4 KiB |  00m00s
[162/171] Installing R-java-devel-0:4.3 100% |   0.0   B/s | 124.0   B |  00m00s
[163/171] Installing tbb2020.3-0:2020.3 100% | 278.1 MiB/s | 284.8 KiB |  00m00s
[164/171] Installing R-CRAN-RcppParalle 100% |  80.5 MiB/s | 247.2 KiB |  00m00s
[165/171] Installing R-devel-0:4.3.2-2. 100% | 121.1 KiB/s | 124.0   B |  00m00s
[166/171] Installing R-CRAN-RcppEigen-0 100% | 269.6 MiB/s |   7.3 MiB |  00m00s
[167/171] Installing R-CRAN-SparseChol- 100% |  12.1 MiB/s | 223.2 KiB |  00m00s
[168/171] Installing R-CRAN-BH-0:1.84.0 100% | 285.3 MiB/s | 123.5 MiB |  00m00s
[169/171] Installing R-CRAN-R6-0:2.5.1- 100% |  59.9 MiB/s | 122.7 KiB |  00m00s
[170/171] Installing annobin-plugin-gcc 100% |  72.7 MiB/s | 968.2 KiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
[171/171] Installing gcc-plugin-annobin 100% | 116.7 KiB/s |  58.7 KiB |  00m01s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:280-1.fc40.noarch
>>> Running post-transaction scriptlet: crypto-policies-scripts-0:20231204-1.git
>>> Stop post-transaction scriptlet: crypto-policies-scripts-0:20231204-1.git1e3
>>> Running post-transaction scriptlet: nss-0:3.96.1-1.fc40.x86_64
>>> Stop post-transaction scriptlet: nss-0:3.96.1-1.fc40.x86_64
>>> Running post-transaction scriptlet: copy-jdk-configs-0:4.1-3.fc39.noarch
>>> Stop post-transaction scriptlet: copy-jdk-configs-0:4.1-3.fc39.noarch
>>> Running post-transaction scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.
>>> Stop post-transaction scriptlet: java-17-openjdk-headless-1:17.0.9.0.9-3.fc4
>>> Running post-transaction scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
>>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
>>> Running post-transaction scriptlet: java-17-openjdk-1:17.0.9.0.9-3.fc40.x86_
>>> Stop post-transaction scriptlet: java-17-openjdk-1:17.0.9.0.9-3.fc40.x86_64
>>> Running post-transaction scriptlet: java-17-openjdk-devel-1:17.0.9.0.9-3.fc4
>>> Stop post-transaction scriptlet: java-17-openjdk-devel-1:17.0.9.0.9-3.fc40.x
>>> Running trigger-install scriptlet: glibc-common-0:2.38.9000-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.38.9000-33.fc40.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-1.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-1.fc40.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.79.0-6.fc40.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.79.0-6.fc40.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.79.0-6.fc40.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.79.0-6.fc40.x86_64
>>> Running trigger-install scriptlet: desktop-file-utils-0:0.26-9.fc39.x86_64
>>> Stop trigger-install scriptlet: desktop-file-utils-0:0.26-9.fc39.x86_64
>>> Running trigger-install scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
>>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-1.fc40.x86_64
Warning: skipped PGP checks for 8 package(s).
Finish: build setup for R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
Start: rpmbuild R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.Z8XQNc
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf glmmrBase
+ /usr/bin/mkdir -p glmmrBase
+ cd glmmrBase
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/glmmrBase_0.6.2.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ rm -rf /builddir/build/BUILD/glmmrBase-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/glmmrBase-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d glmmrBase/src ']'
+ find glmmrBase/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d glmmrBase/src ']'
+ find glmmrBase/src/Makevars glmmrBase/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.7ngFae
+ umask 022
+ cd /builddir/build/BUILD
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd glmmrBase
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.TPoQIw
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
++ dirname /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd glmmrBase
+ mkdir -p /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64/usr/local/lib/R/library glmmrBase
* installing *source* package ‘glmmrBase’ ...
** package ‘glmmrBase’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++ (GCC) 14.0.1 20240113 (Red Hat 14.0.1-0)’
using C++17
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c RcppExports.cpp -o RcppExports.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~
RcppExports.cpp:1568:76:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1568 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    77 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^~~
RcppExports.cpp:1568:76:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:  1568 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~
RcppExports.cpp:1569:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1569 |     Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type Z(ZSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c covariance_module.cpp -o covariance_module.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from covariance_module.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Covariance]’:
covariance_module.cpp:10:18:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    10 |   XPtr<covariance> ptr(new covariance(form,data,colnames),true);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Covariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::nngpCovariance]’:
covariance_module.cpp:19:12:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    19 |   XPtr<nngp> ptr(new nngp(form,data,colnames),true);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::nngpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::hsgpCovariance]’:
covariance_module.cpp:28:12:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    28 |   XPtr<hsgp> ptr(new hsgp(form,data,colnames),true);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::hsgpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:891:18:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   891 |     nvar_par = (1+model.data.variance);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:923:57:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   923 |   update_beta(model.linear_predictor.parameter_vector() + bincr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/modeloptim.hpp:1030:20:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1030 |     ArrayXi rows = Map<ArrayXi,Unaligned>(sb.RowIndexes.data(),sb.RowIndexes.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:93:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:42:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    38 |                    >::type Scalar;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   862 |   MatrixXd zd = matrix.linpred();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:79:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    79 |   MatrixXd M = X.transpose()*S*X;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |       M = matrix.information_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
In member function ‘sparse::operator=(sparse)’,
    inlined from ‘SparseChol::update(sparse const&)’ at /usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:271:9: warning: ‘D.556474.m’ may be used uninitialized [-Wmaybe-uninitialized]
  271 |   m = B.m;
      |       ~~^
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:5:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h: In member function ‘SparseChol::update(sparse const&)’:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21: note: ‘<anonymous>’ declared here
   64 |       L = sparse(LAp);
      |                     ^
In file included from /usr/local/lib/R/library/Rcpp/include/RcppCommon.h:188,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:26:
In function ‘Rcpp::internal::primitive_wrap__impl__cast<int>(int const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<int>(int const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<int>(int const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__Q(SEXPREC*, int)’ at covariance_module.cpp:281:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘Q’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__Q(SEXPREC*, int)’:
covariance_module.cpp:259:7: note: ‘Q’ was declared here
  259 |   int Q;
      |       ^
In function ‘Rcpp::internal::primitive_wrap__impl__cast<int>(int const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<int>(int const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<int>(int const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__B(SEXPREC*, int)’ at covariance_module.cpp:253:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘B’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__B(SEXPREC*, int)’:
covariance_module.cpp:232:7: note: ‘B’ was declared here
  232 |   int B;
      |       ^
In function ‘Rcpp::internal::primitive_wrap__impl__cast<int>(int const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<int>(int const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<int>(int const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<int>(int const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__n_cov_pars(SEXPREC*, int)’ at covariance_module.cpp:363:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘G’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__n_cov_pars(SEXPREC*, int)’:
covariance_module.cpp:342:7: note: ‘G’ was declared here
  342 |   int G;
      |       ^
In file included from /usr/local/lib/R/library/Rcpp/include/RcppCommon.h:161:
In function ‘Rcpp::internal::caster<bool, int>(bool)int’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl__cast<bool>(bool const&, Rcpp::traits::integral_constant<bool, true>)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:454:65,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<bool>(bool const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<bool>(bool const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<bool>(bool const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<bool>(bool const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__any_gr(SEXPREC*, int)’ at covariance_module.cpp:479:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/caster.h:30:36: warning: ‘gr’ may be used uninitialized [-Wmaybe-uninitialized]
   30 |         return static_cast<TO>(from) ;
      |                                    ^
covariance_module.cpp: In function ‘Covariance__any_gr(SEXPREC*, int)’:
covariance_module.cpp:460:8: note: ‘gr’ was declared here
  460 |   bool gr;
      |        ^~
In function ‘Rcpp::internal::primitive_wrap__impl__cast<double>(double const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<double>(double const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<double>(double const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__log_determinant(SEXPREC*, int)’ at covariance_module.cpp:336:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘ll’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__log_determinant(SEXPREC*, int)’:
covariance_module.cpp:315:10: note: ‘ll’ was declared here
  315 |   double ll;
      |          ^~
In function ‘Rcpp::internal::primitive_wrap__impl__cast<double>(double const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<double>(double const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<double>(double const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__log_likelihood(SEXPREC*, SEXPREC*, int)’ at covariance_module.cpp:309:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘ll’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__log_likelihood(SEXPREC*, SEXPREC*, int)’:
covariance_module.cpp:287:10: note: ‘ll’ was declared here
  287 |   double ll;
      |          ^~
In function ‘Rcpp::internal::primitive_wrap__impl__cast<double>(double const&, Rcpp::traits::integral_constant<bool, false>)SEXPREC*’,
    inlined from ‘Rcpp::internal::primitive_wrap__impl<double>(double const&, Rcpp::traits::r_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:465:46,
    inlined from ‘Rcpp::internal::primitive_wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:489:40,
    inlined from ‘Rcpp::internal::wrap_dispatch<double>(double const&, Rcpp::traits::wrap_type_primitive_tag)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from ‘Rcpp::wrap<double>(double const&)SEXPREC*’ at /usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from ‘Covariance__get_val(SEXPREC*, int, int, int)’ at covariance_module.cpp:506:14:
/usr/local/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘gr’ may be used uninitialized [-Wmaybe-uninitialized]
  442 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
covariance_module.cpp: In function ‘Covariance__get_val(SEXPREC*, int, int, int)’:
covariance_module.cpp:485:10: note: ‘gr’ was declared here
  485 |   double gr;
      |          ^~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c linpred_module.cpp -o linpred_module.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from linpred_module.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::LinearPredictor]’:
linpred_module.cpp:13:30:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    13 |   XPtr<glmmr::LinearPredictor> ptr(new glmmr::LinearPredictor(f1,data,colnames));
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                              ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::LinearPredictor’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:891:18:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   891 |     nvar_par = (1+model.data.variance);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:923:57:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   923 |   update_beta(model.linear_predictor.parameter_vector() + bincr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/modeloptim.hpp:1030:20:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1030 |     ArrayXi rows = Map<ArrayXi,Unaligned>(sb.RowIndexes.data(),sb.RowIndexes.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:93:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:42:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    38 |                    >::type Scalar;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   862 |   MatrixXd zd = matrix.linpred();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:79:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    79 |   MatrixXd M = X.transpose()*S*X;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |       M = matrix.information_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
In member function ‘sparse::operator=(sparse)’,
    inlined from ‘SparseChol::update(sparse const&)’ at /usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:271:9: warning: ‘D.556474.m’ may be used uninitialized [-Wmaybe-uninitialized]
  271 |   m = B.m;
      |       ~~^
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:5:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h: In member function ‘SparseChol::update(sparse const&)’:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21: note: ‘<anonymous>’ declared here
   64 |       L = sparse(LAp);
      |                     ^
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c model_module.cpp -o model_module.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from model_module.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:16:12:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    16 |   XPtr<bits>ptr(new bits(formula,data,colnames,family,link),true);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:42:18:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |     nvar_par = (1+model.data.variance);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:250:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:252:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:250:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:252:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:250:38:   required from ‘Model__update_W(SEXP, int)::<lambda(auto:38)> [with auto:38 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |     [](auto ptr){ptr->matrix.W.update();}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:252:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/model.hpp:6:
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:67:15:   required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   if(useBlock)gen_sigma_blocks();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:61:7:   required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |       matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:47:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    47 |   XPtr<glmm> ptr(new glmm(formula,data,colnames,family,link),true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
../inst/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  122 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:67:15:   required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    67 |   if(useBlock)gen_sigma_blocks();};
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:61:7:   required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    61 |       matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:73:70:   required from here
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    73 |   XPtr<glmm_nngp> ptr(new glmm_nngp(formula,data,colnames,family,link),true);
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |                                                                      ^
../inst/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  122 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:67:15:   required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    67 |   if(useBlock)gen_sigma_blocks();};
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:61:7:   required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    61 |       matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:103:70:   required from here
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:   103 |   XPtr<glmm_hsgp> ptr(new glmm_hsgp(formula,data,colnames,family,link),true);
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |                                                                      ^
../inst/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  122 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:84:20:   required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:    84 |   optim.update_beta(beta_);
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:207:39:   required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:   207 |     [&beta](auto ptr){ptr->update_beta(beta);}
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |                       ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  1132 |       return __same_types<
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:209:13:   required from here
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:   209 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modelmatrix.hpp:122:20: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:84:20:   required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    84 |   optim.update_beta(beta_);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:207:39:   required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   207 |     [&beta](auto ptr){ptr->update_beta(beta);}
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                       ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:209:13:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   209 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:84:20:   required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    84 |   optim.update_beta(beta_);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:207:39:   required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   207 |     [&beta](auto ptr){ptr->update_beta(beta);}
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                       ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:209:13:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   209 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   115 |       compute(matrix.derived());
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/model.hpp:210:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/model.hpp:210:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/model.hpp:210:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/model.hpp:210:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/model.hpp:210:22: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/model.hpp:210:22: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/model.hpp:210:22: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/model.hpp:210:22: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/model.hpp:210:22: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
../inst/include/glmmr/model.hpp:210:22: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:923:57:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   923 |   update_beta(model.linear_predictor.parameter_vector() + bincr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/modeloptim.hpp:1030:20:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1030 |     ArrayXi rows = Map<ArrayXi,Unaligned>(sb.RowIndexes.data(),sb.RowIndexes.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:93:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:42:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:79:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    79 |   MatrixXd M = X.transpose()*S*X;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |       M = matrix.information_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c model_module_2.cpp -o model_module_2.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from model_module_2.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:66:37:   required from ‘double glmmr::ModelMCMC<modeltype>::log_prob(const Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    66 |   VectorXd mu = model.xb().matrix() + zu;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                 ~~~~~~~~~~~~~~~~~~~~^~~~
model_module_2.cpp:84:56:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_prob(SEXP, SEXP, int)::<lambda(int)>, Model__log_prob(SEXP, SEXP, int)::<lambda(auto:35)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_prob(SEXP, SEXP, int)::<lambda(int)>, Model__log_prob(SEXP, SEXP, int)::<lambda(auto:35)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_prob(SEXP, SEXP, int)::<lambda(int)>, Model__log_prob(SEXP, SEXP, int)::<lambda(auto:35)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_prob(SEXP, SEXP, int)::<lambda(int)>, Model__log_prob(SEXP, SEXP, int)::<lambda(auto:35)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_prob(SEXP, SEXP, int)::<lambda(int)>, Model__log_prob(SEXP, SEXP, int)::<lambda(auto:35)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:86:22:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    86 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:110:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:110:61:   required from ‘Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   110 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:56:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
model_module_2.cpp:121:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:123:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:123:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:121:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__linear_predictor(SEXP, int)::<lambda(int)>, Model__linear_predictor(SEXP, int)::<lambda(auto:38)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:123:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:530:61:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   530 |   model.linear_predictor.update_parameters(x.head(P()).array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                            ~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:532:37:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   532 |   double logl = v.col(0).transpose()*v.col(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:646:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:74)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:74)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:74)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:74)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:74)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:648:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   648 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
model_module_2.cpp:44:41:   required from ‘Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> [with auto:31 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    44 |       [&](auto ptr){ptr->optim.set_bound(bound,lower);}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:46:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    46 |     std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:768:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  768 |   if(bound.size()!=P())Rcpp::stop("Bound not equal to number of parameters");
      |      ~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
model_module_2.cpp:44:41:   required from ‘Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> [with auto:31 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    44 |       [&](auto ptr){ptr->optim.set_bound(bound,lower);}
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:46:15:   required from here
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    46 |     std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:768:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  768 |   if(bound.size()!=P())Rcpp::stop("Bound not equal to number of parameters");
      |      ~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
model_module_2.cpp:44:41:   required from ‘Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> [with auto:31 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    44 |       [&](auto ptr){ptr->optim.set_bound(bound,lower);}
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(int)>, Model__set_bound(SEXP, SEXP, bool, bool, int)::<lambda(auto:31)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:46:15:   required from here
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    46 |     std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:768:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  768 |   if(bound.size()!=P())Rcpp::stop("Bound not equal to number of parameters");
      |      ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:42:18:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:    42 |     nvar_par = (1+model.data.variance);
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:534:18:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
../inst/include/glmmr/modeloptim.hpp:768:18: warning:   534 |   matrix.W.update();
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |   ~~~~~~~~~~~~~~~^~
model_module_2.cpp:178:69:   required from here
../inst/include/glmmr/modeloptim.hpp:768:18: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
../inst/include/glmmr/modeloptim.hpp:768:18: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:534:18:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   534 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:534:18:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   534 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:267:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   267 |         ptr->optim.template laplace_ml_beta_u<NEWUOA>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = LBFGS; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:270:53:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   270 |         ptr->optim.template laplace_ml_beta_u<LBFGS>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:282:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  282 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:273:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   273 |         ptr->optim.template laplace_ml_beta_u<DIRECT>();
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:276:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   276 |         ptr->optim.template laplace_ml_beta_u<BOBYQA>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:267:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   267 |         ptr->optim.template laplace_ml_beta_u<NEWUOA>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = LBFGS; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:270:53:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   270 |         ptr->optim.template laplace_ml_beta_u<LBFGS>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:282:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  282 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:273:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   273 |         ptr->optim.template laplace_ml_beta_u<DIRECT>();
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:276:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   276 |         ptr->optim.template laplace_ml_beta_u<BOBYQA>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:267:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   267 |         ptr->optim.template laplace_ml_beta_u<NEWUOA>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = LBFGS; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:270:53:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   270 |         ptr->optim.template laplace_ml_beta_u<LBFGS>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:282:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  282 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:273:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   273 |         ptr->optim.template laplace_ml_beta_u<DIRECT>();
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:282:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:282:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:282:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::laplace_ml_beta_u() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module_2.cpp:276:54:   required from ‘Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> [with auto:43 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   276 |         ptr->optim.template laplace_ml_beta_u<BOBYQA>();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(int)>, Model__laplace_ml_beta_u(SEXP, int, int)::<lambda(auto:43)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:281:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   281 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:307:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  307 |     if(lower_bound.size()==P())
      |        ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:339:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3138 |     struct invoke_result
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1132 |       return __same_types<
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/modeloptim.hpp:307:26: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:341:13:   required from here
../inst/include/glmmr/modeloptim.hpp:307:26: warning:   341 |   std::visit(functor,model.ptr);
../inst/include/glmmr/modeloptim.hpp:307:26: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:339:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:341:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:339:36:   required from ‘Model__nr_beta(SEXP, int)::<lambda(auto:46)> [with auto:46 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     [](auto ptr){ptr->optim.nr_beta();}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:341:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:339:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:341:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:46)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:341:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_2.cpp:349:46:   required from ‘Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     [](auto ptr){ptr->optim.laplace_nr_beta_u();}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:351:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   351 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__laplace_nr_beta_u(SEXP, int)::<lambda(int)>, Model__laplace_nr_beta_u(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:351:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   351 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:372:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   372 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:77:91:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |   MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:370:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:372:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   372 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:77:40:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |   MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:370:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:372:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   372 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘void optim<T(const std::vector<T>&), NEWUOA>::minimise() [with T = double]’:
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   185 |     op.minimise();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:192:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   192 |           ptr->optim.template ml_beta<NEWUOA>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   206 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:340:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  340 |       for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:344:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  344 |       for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:354:12: warning: unused variable ‘result’ [-Wunused-variable]
  354 |     double result = newuoa_closure( &closure, dim, control.npt, current_values.data(), control.rhobeg, control.rhoend, control.maxfun, w.data(), &fn_counter);
      |            ^~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘void optim<T(const std::vector<T>&), BOBYQA>::minimise() [with T = double]’:
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/optim/optim.h:354:12: warning:   185 |     op.minimise();
../inst/include/glmmr/optim/optim.h:354:12: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:201:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/optim/optim.h:354:12: warning:   201 |           ptr->optim.template ml_beta<BOBYQA>();
../inst/include/glmmr/optim/optim.h:354:12: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:354:12: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/optim/optim.h:354:12: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:354:12: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/optim/optim.h:354:12: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:354:12: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/optim/optim.h:354:12: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:354:12: warning:  3138 |     struct invoke_result
../inst/include/glmmr/optim/optim.h:354:12: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:354:12: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/optim/optim.h:354:12: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/optim/optim.h:354:12: warning:  1132 |       return __same_types<
../inst/include/glmmr/optim/optim.h:354:12: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/optim/optim.h:354:12: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/optim/optim.h:354:12: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/optim/optim.h:354:12: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/optim/optim.h:354:12: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/optim/optim.h:354:12: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/optim/optim.h:354:12: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
../inst/include/glmmr/optim/optim.h:354:12: warning:   206 |   std::visit(functor,model.ptr);
../inst/include/glmmr/optim/optim.h:354:12: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:163:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  163 |       for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:167:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  167 |       for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
      |                      ~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/glmmr/optim/optim.h:167:23: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:167:23: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
../inst/include/glmmr/optim/optim.h:167:23: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:167:23: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:167:23: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/optim/optim.h:167:23: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
../inst/include/glmmr/optim/optim.h:167:23: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/optim/optim.h:167:23: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/glmmr/optim/optim.h:167:23: warning:   221 |     return m.cwiseAbs().sum();
../inst/include/glmmr/optim/optim.h:167:23: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/glmmr/optim/optim.h:167:23: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
../inst/include/glmmr/optim/optim.h:167:23: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/optim/optim.h:167:23: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
../inst/include/glmmr/optim/optim.h:167:23: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/optim/optim.h:167:23: warning:   115 |       compute(matrix.derived());
../inst/include/glmmr/optim/optim.h:167:23: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
../inst/include/glmmr/optim/optim.h:167:23: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
../inst/include/glmmr/optim/optim.h:167:23: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘std::pair<T, long unsigned int> Rectangle<T>::longest_side() [with T = double]’:
../inst/include/glmmr/optim/optim.h:748:51:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::set_bounds(const std::vector<T>&, const std::vector<T>&, bool) [with T = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   748 |   current_largest_dim = rects.back()->longest_side();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:169:20:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   169 |       op.set_bounds(start,dblvec(start.size(),control.direct_range_beta),true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:198:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   198 |           ptr->optim.template ml_beta<DIRECT>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   206 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:668:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  668 |   for(size_t i = 0; i < dim; i++){
      |                     ~~^~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘std::vector<T> optim<T(const std::vector<T>&), DIRECT>::transform(const std::vector<T>&) [with T = double]’:
../inst/include/glmmr/optim/optim.h:785:27:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::minimise() [with T = double]’
../inst/include/glmmr/optim/optim.h:668:23: warning:   785 |     std::vector<T> vals = transform(rects.front()->centroid());
../inst/include/glmmr/optim/optim.h:668:23: warning:       |                           ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/optim/optim.h:668:23: warning:   185 |     op.minimise();
../inst/include/glmmr/optim/optim.h:668:23: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:198:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/optim/optim.h:668:23: warning:   198 |           ptr->optim.template ml_beta<DIRECT>();
../inst/include/glmmr/optim/optim.h:668:23: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:668:23: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/optim/optim.h:668:23: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:668:23: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/optim/optim.h:668:23: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:668:23: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/optim/optim.h:668:23: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:668:23: warning:  3138 |     struct invoke_result
../inst/include/glmmr/optim/optim.h:668:23: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:668:23: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/optim/optim.h:668:23: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/optim/optim.h:668:23: warning:  1132 |       return __same_types<
../inst/include/glmmr/optim/optim.h:668:23: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/optim/optim.h:668:23: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/optim/optim.h:668:23: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/optim/optim.h:668:23: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/optim/optim.h:668:23: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/optim/optim.h:668:23: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/optim/optim.h:668:23: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
../inst/include/glmmr/optim/optim.h:668:23: warning:   206 |   std::visit(functor,model.ptr);
../inst/include/glmmr/optim/optim.h:668:23: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:891:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  891 |   for(int i = 0; i < dim; i++){
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘std::vector<T> Rectangle<T>::centroid() [with T = double]’:
../inst/include/glmmr/optim/optim.h:785:60:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::minimise() [with T = double]’
../inst/include/glmmr/optim/optim.h:891:20: warning:   785 |     std::vector<T> vals = transform(rects.front()->centroid());
../inst/include/glmmr/optim/optim.h:891:20: warning:       |                                     ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/optim/optim.h:891:20: warning:   185 |     op.minimise();
../inst/include/glmmr/optim/optim.h:891:20: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:198:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/optim/optim.h:891:20: warning:   198 |           ptr->optim.template ml_beta<DIRECT>();
../inst/include/glmmr/optim/optim.h:891:20: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:891:20: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/optim/optim.h:891:20: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:891:20: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/optim/optim.h:891:20: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:891:20: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/optim/optim.h:891:20: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:891:20: warning:  3138 |     struct invoke_result
../inst/include/glmmr/optim/optim.h:891:20: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:891:20: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/optim/optim.h:891:20: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/optim/optim.h:891:20: warning:  1132 |       return __same_types<
../inst/include/glmmr/optim/optim.h:891:20: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/optim/optim.h:891:20: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/optim/optim.h:891:20: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/optim/optim.h:891:20: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/optim/optim.h:891:20: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/optim/optim.h:891:20: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/optim/optim.h:891:20: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
../inst/include/glmmr/optim/optim.h:891:20: warning:   206 |   std::visit(functor,model.ptr);
../inst/include/glmmr/optim/optim.h:891:20: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:631:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  631 |   for(size_t i = 0; i < dim; i++){
      |                     ~~^~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘void optim<T(const std::vector<T>&), DIRECT>::divide_rectangles() [with T = double]’:
../inst/include/glmmr/optim/optim.h:810:5:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::minimise() [with T = double]’
../inst/include/glmmr/optim/optim.h:631:23: warning:   810 |     divide_rectangles();
../inst/include/glmmr/optim/optim.h:631:23: warning:       |     ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/optim/optim.h:631:23: warning:   185 |     op.minimise();
../inst/include/glmmr/optim/optim.h:631:23: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:198:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/optim/optim.h:631:23: warning:   198 |           ptr->optim.template ml_beta<DIRECT>();
../inst/include/glmmr/optim/optim.h:631:23: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:631:23: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/optim/optim.h:631:23: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:631:23: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/optim/optim.h:631:23: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:631:23: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/optim/optim.h:631:23: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/optim/optim.h:631:23: warning:  3138 |     struct invoke_result
../inst/include/glmmr/optim/optim.h:631:23: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/optim/optim.h:631:23: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/optim/optim.h:631:23: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/optim/optim.h:631:23: warning:  1132 |       return __same_types<
../inst/include/glmmr/optim/optim.h:631:23: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/optim/optim.h:631:23: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/optim/optim.h:631:23: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
../inst/include/glmmr/optim/optim.h:631:23: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/optim/optim.h:631:23: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/optim/optim.h:631:23: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/optim/optim.h:631:23: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
../inst/include/glmmr/optim/optim.h:631:23: warning:   206 |   std::visit(functor,model.ptr);
../inst/include/glmmr/optim/optim.h:631:23: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:1071:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Rectangle<double>, std::default_delete<Rectangle<double> > >, std::allocator<std::unique_ptr<Rectangle<double>, std::default_delete<Rectangle<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
 1071 |   for(int i = 0; i < new_rectangles.size(); i++) rects.push_back(std::move(new_rectangles[i]));
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
../inst/include/glmmr/optim/optim.h:1071:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
../inst/include/glmmr/optim/optim.h:1071:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   115 | class dense_product_base
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
../inst/include/glmmr/optim/optim.h:1071:20: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   337 |       return unblocked(m);
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
../inst/include/glmmr/optim/optim.h:1071:20: warning:   115 |       compute(matrix.derived());
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
../inst/include/glmmr/optim/optim.h:1071:20: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
../inst/include/glmmr/optim/optim.h:1071:20: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:532:37:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   532 |   double logl = v.col(0).transpose()*v.col(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:532:37:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   532 |   double logl = v.col(0).transpose()*v.col(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘std::vector<T> Rectangle<T>::centroid(const size_t&, const T&) [with T = double; size_t = long unsigned int]’:
../inst/include/glmmr/optim/optim.h:1019:41:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::divide_rectangles() [with T = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1019 |         fn1 = eval(transform(r->centroid(dd, delta)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:810:5:   required from ‘void optim<T(const std::vector<T>&), DIRECT>::minimise() [with T = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   810 |     divide_rectangles();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:185:16:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = DIRECT; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   185 |     op.minimise();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~^~
model_module_2.cpp:198:46:   required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   198 |           ptr->optim.template ml_beta<DIRECT>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/14/type_traits:2639:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   206 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:648:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  648 |   for(size_t i = 0; i < dim; i++){
      |                     ~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
../inst/include/glmmr/optim/optim.h:648:23: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
../inst/include/glmmr/optim/optim.h:648:23: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
../inst/include/glmmr/optim/optim.h:648:23: warning:   879 |     call_dense_assignment_loop(dst, src, func);
../inst/include/glmmr/optim/optim.h:648:23: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
../inst/include/glmmr/optim/optim.h:648:23: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
../inst/include/glmmr/optim/optim.h:648:23: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
../inst/include/glmmr/optim/optim.h:648:23: warning:   804 |   call_assignment_no_alias(dst, src, func);
../inst/include/glmmr/optim/optim.h:648:23: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
../inst/include/glmmr/optim/optim.h:648:23: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
../inst/include/glmmr/optim/optim.h:648:23: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
../inst/include/glmmr/optim/optim.h:648:23: warning:    66 |   internal::call_assignment(derived(), other.derived());
../inst/include/glmmr/optim/optim.h:648:23: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
../inst/include/glmmr/optim/optim.h:648:23: warning:   126 |       matrix.rightCols(numCols-colToRemove);
../inst/include/glmmr/optim/optim.h:648:23: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:112:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:187:3:   required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   187 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ^~~~~~~~~~~~~~~~~
model_module_2.cpp:192:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:206:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   206 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
model_module_2.cpp:470:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   470 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:532:37:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood_laplace_beta_u_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   532 |   double logl = v.col(0).transpose()*v.col(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
model_module_2.cpp:178:69:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |   double ll = ptr->optim.log_likelihood_laplace_beta_u_with_gradient(start,grad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:528:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   528 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_2.cpp:528:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   528 |   std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    45 | class Array
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: In function ‘bobyqb(long, long, double (*)(long, double const*, void*), void*, double*, double const*, double const*, double, double, long, long, double*, double*, double*, double*, double*, double*, double*, double*, double*, long, double*, double*, double*, double*, double*, double*, double*)’:
../inst/include/glmmr/optim/bobyqa_general.h:990:9: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized]
  990 |   update(n, npt, &BMAT(1,1), &ZMAT(1,1), ndim, &vlag[1],
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  991 |          beta, denom, knew, &w[1]);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/bobyqa_general.h:450:37: note: ‘beta’ was declared here
  450 |   REAL adelt, alpha, bdtest, bdtol, beta, biglsq, bsum, cauchy, crvmin,
      |                                     ^~~~
../inst/include/glmmr/optim/bobyqa_general.h:1190:3: warning: ‘ratio’ may be used uninitialized [-Wmaybe-uninitialized]
 1190 |   if (ratio > zero) {
      |   ^~
../inst/include/glmmr/optim/bobyqa_general.h:453:31: note: ‘ratio’ was declared here
  453 |     gisq, gqsq, hdiag, pqold, ratio, rho, scaden, sum, suma, sumb, sumpq,
      |                               ^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘Rectangle<double>::longest_side()’:
../inst/include/glmmr/optim/optim.h:675:52: warning: ‘which_dim’ may be used uninitialized [-Wmaybe-uninitialized]
  675 |   return std::pair<T,size_t>{0.5*long_len,which_dim};
      |                                                    ^
../inst/include/glmmr/optim/optim.h:667:10: note: ‘which_dim’ was declared here
  667 |   size_t which_dim;
      |          ^~~~~~~~~
In file included from /usr/include/c++/14/bits/stl_algobase.h:64,
                 from /usr/include/c++/14/string:51,
                 from /usr/include/c++/14/bits/locale_classes.h:40,
                 from /usr/include/c++/14/bits/ios_base.h:41,
                 from /usr/include/c++/14/streambuf:43,
                 from /usr/include/c++/14/bits/streambuf_iterator.h:35,
                 from /usr/include/c++/14/iterator:66,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:25:
In member function ‘std::pair<double, unsigned long>::operator=(std::pair<double, unsigned long>&&)’,
    inlined from ‘optim<double (std::vector<double, std::allocator<double> > const&), DIRECT>::set_bounds(std::vector<double, std::allocator<double> > const&, std::vector<double, std::allocator<double> > const&, bool)’ at ../inst/include/glmmr/optim/optim.h:748:23:
/usr/include/c++/14/bits/stl_pair.h:751:16: warning: ‘which_dim’ may be used uninitialized [-Wmaybe-uninitialized]
  751 |         second = std::forward<second_type>(__p.second);
      |         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘optim<double (std::vector<double, std::allocator<double> > const&), DIRECT>::set_bounds(std::vector<double, std::allocator<double> > const&, std::vector<double, std::allocator<double> > const&, bool)’:
../inst/include/glmmr/optim/optim.h:667:10: note: ‘which_dim’ was declared here
  667 |   size_t which_dim;
      |          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c model_module_extension.cpp -o model_module_extension.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from model_module_extension.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::nngpCovariance]’:
model_module_extension.cpp:65:12:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    65 |   XPtr<nngp> ptr(xp);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::nngpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::hsgpCovariance]’:
model_module_extension.cpp:82:12:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    82 |   XPtr<hsgp> ptr(xp);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::hsgpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module_extension.cpp:137:50:   required from ‘Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> [with auto:29 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   137 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     138 |                                       x,atvar,atmeansvar,averagevar,
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     139 |                                       static_cast<glmmr::RandomEffectMargin>(re),
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     140 |                                       static_cast<glmmr::SE>(se),
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
     141 |                                       xvals,atxvals,atrevals
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~
     142 |                                       ));}
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                       ~           
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module_extension.cpp:137:50:   required from ‘Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> [with auto:29 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/model.hpp:210:22: warning:   137 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     138 |                                       x,atvar,atmeansvar,averagevar,
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     139 |                                       static_cast<glmmr::RandomEffectMargin>(re),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     140 |                                       static_cast<glmmr::SE>(se),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
     141 |                                       xvals,atxvals,atrevals
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~
     142 |                                       ));}
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~           
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/model.hpp:210:22: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/model.hpp:210:22: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/model.hpp:210:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  3138 |     struct invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/model.hpp:210:22: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/model.hpp:210:22: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1132 |       return __same_types<
../inst/include/glmmr/model.hpp:210:22: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/model.hpp:210:22: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/model.hpp:210:22: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/model.hpp:210:22: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   144 |   auto S = std::visit(functor,model.ptr);
../inst/include/glmmr/model.hpp:210:22: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module_extension.cpp:137:50:   required from ‘Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> [with auto:29 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
../inst/include/glmmr/model.hpp:210:22: warning:   137 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     138 |                                       x,atvar,atmeansvar,averagevar,
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     139 |                                       static_cast<glmmr::RandomEffectMargin>(re),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     140 |                                       static_cast<glmmr::SE>(se),
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~
     141 |                                       xvals,atxvals,atrevals
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~
     142 |                                       ));}
../inst/include/glmmr/model.hpp:210:22: warning:       |                                       ~           
/usr/include/c++/14/type_traits:2639:26:   required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/model.hpp:210:22: warning:  2639 |       std::declval<_Fn>()(std::declval<_Args>()...)
../inst/include/glmmr/model.hpp:210:22: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:2650:60:   required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  2650 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
../inst/include/glmmr/model.hpp:210:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  3138 |     struct invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/model.hpp:210:22: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/model.hpp:210:22: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1132 |       return __same_types<
../inst/include/glmmr/model.hpp:210:22: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/model.hpp:210:22: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/model.hpp:210:22: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/model.hpp:210:22: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   144 |   auto S = std::visit(functor,model.ptr);
../inst/include/glmmr/model.hpp:210:22: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/model.hpp:210:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/model.hpp:210:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/model.hpp:210:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/model.hpp:210:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/model.hpp:210:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/model.hpp:210:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/glmmr/model.hpp:210:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/model.hpp:210:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:291:47:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/model.hpp:210:22: warning:   291 |   VectorXd resid = model.linear_predictor.xb()+model.data.offset;
../inst/include/glmmr/model.hpp:210:22: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
model_module_extension.cpp:260:63:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  2655 |     struct __invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
../inst/include/glmmr/model.hpp:210:22: warning:  3138 |     struct invoke_result
../inst/include/glmmr/model.hpp:210:22: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
../inst/include/glmmr/model.hpp:210:22: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
../inst/include/glmmr/model.hpp:210:22: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1132 |       return __same_types<
../inst/include/glmmr/model.hpp:210:22: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
../inst/include/glmmr/model.hpp:210:22: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
../inst/include/glmmr/model.hpp:210:22: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
../inst/include/glmmr/model.hpp:210:22: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
../inst/include/glmmr/model.hpp:210:22: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
../inst/include/glmmr/model.hpp:210:22: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:262:22:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   262 |   auto S = std::visit(functor,model.ptr);
../inst/include/glmmr/model.hpp:210:22: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:623:56:   required from ‘BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   623 |   MatrixXd A = MatrixXd::Identity(Px.rows(),Px.cols()) - Px;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
model_module_extension.cpp:347:51:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:608:23:   required from ‘VectorMatrix glmmr::ModelMatrix<modeltype>::re_score() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   608 |   out.mat = hess.mat1 + MatrixXd::Identity(Q(),Q());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:369:56:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__hessian(SEXP, int)::<lambda(int)>, Model__hessian(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__hessian(SEXP, int)::<lambda(int)>, Model__hessian(SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__hessian(SEXP, int)::<lambda(int)>, Model__hessian(SEXP, int)::<lambda(auto:49)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__hessian(SEXP, int)::<lambda(int)>, Model__hessian(SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__hessian(SEXP, int)::<lambda(int)>, Model__hessian(SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:371:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 0]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       return const_cast<ExpressionType&>(m_matrix += extendedTo(other.derived()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:595:22:   required from ‘MatrixMatrix glmmr::ModelMatrix<modeltype>::hess_and_grad() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   595 |   zuOffset.colwise() += model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:249:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__hess_and_grad(SEXP, int)::<lambda(int)>, Model__hess_and_grad(SEXP, int)::<lambda(auto:39)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__hess_and_grad(SEXP, int)::<lambda(int)>, Model__hess_and_grad(SEXP, int)::<lambda(auto:39)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__hess_and_grad(SEXP, int)::<lambda(int)>, Model__hess_and_grad(SEXP, int)::<lambda(auto:39)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__hess_and_grad(SEXP, int)::<lambda(int)>, Model__hess_and_grad(SEXP, int)::<lambda(auto:39)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__hess_and_grad(SEXP, int)::<lambda(int)>, Model__hess_and_grad(SEXP, int)::<lambda(auto:39)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:251:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:372:68:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   372 |       M_theta(i,j) = 0.5*(S(counter).trace())- (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ~~~~~~~~~~~~~~~~~~~~^~
model_module_extension.cpp:271:72:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:372:99:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   372 |       M_theta(i,j) = 0.5*(S(counter).trace())- (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ~~~~~~~~~~~~~~~~~~~~~~^~~
model_module_extension.cpp:271:72:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
model_module_extension.cpp:282:95:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module_extension.cpp:282:95:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module_extension.cpp:308:94:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module_extension.cpp:308:94:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:626:49:   required from ‘BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   626 |   double trasig = ((ASig*ASig.transpose()).trace())/(asigtrace*asigtrace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module_extension.cpp:347:51:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:42:18:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |     nvar_par = (1+model.data.variance);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:85:11:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:85:11:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:85:11:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    85 |   W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~^~
../inst/include/glmmr/model.hpp:266:36:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:77:91:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |   MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:77:40:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |   MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:29)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:144:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:262:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   262 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:41)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:273:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:284:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   284 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, int)::<lambda(auto:44)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:310:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |       auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:349:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:2655:12:   required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  2655 |     struct __invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ^~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3138:12:   required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  3138 |     struct invoke_result
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ^~~~~~~~~~~~~
/usr/include/c++/14/type_traits:3150:11:   required by substitution of ‘template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  3150 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ^~~~~~~~~~~~~~~
/usr/include/c++/14/variant:1132:14:   required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3}; std::index_sequence<_Idx ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1132 |       return __same_types<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ^~~~~~~~~~~~~
    1133 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1134 |         >;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~     
/usr/include/c++/14/variant:1869:44:   required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1868 |           constexpr bool __visit_rettypes_match = __detail::__variant::
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                   ~~~~~~~~~~~~~~~~~~~~~
    1869 |             __check_visitor_results<_Visitor, _Vp>(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1870 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module_extension.cpp:262:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   262 |   auto S = std::visit(functor,model.ptr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    38 |                    >::type Scalar;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   862 |   MatrixXd zd = matrix.linpred();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c openmp_utils.cpp -o openmp_utils.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from openmp_utils.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   241 |       zprod(i) = pluDzz.determinant();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:891:18:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   891 |     nvar_par = (1+model.data.variance);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:923:57:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   923 |   update_beta(model.linear_predictor.parameter_vector() + bincr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/modeloptim.hpp:1030:20:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1030 |     ArrayXi rows = Map<ArrayXi,Unaligned>(sb.RowIndexes.data(),sb.RowIndexes.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:93:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:42:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    38 |                    >::type Scalar;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   862 |   MatrixXd zd = matrix.linpred();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:72:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    72 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:79:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    79 |   MatrixXd M = X.transpose()*S*X;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^
../inst/include/glmmr/modelmatrix.hpp:88:10:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     M += information_matrix_by_block(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:266:36:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |       M = matrix.information_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
In member function ‘sparse::operator=(sparse)’,
    inlined from ‘SparseChol::update(sparse const&)’ at /usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:271:9: warning: ‘D.556474.m’ may be used uninitialized [-Wmaybe-uninitialized]
  271 |   m = B.m;
      |       ~~^
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:5:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h: In member function ‘SparseChol::update(sparse const&)’:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21: note: ‘<anonymous>’ declared here
   64 |       L = sparse(LAp);
      |                     ^
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/SparseChol/include' -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I/usr/local/include   -fopenmp  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c other_functions.cpp -o other_functions.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10,
                 from ../inst/include/glmmr.h:3,
                 from other_functions.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   250 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    92 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   168 |     VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                             ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 |     Matrix<int,Dynamic,Dynamic,ColMajor> nnzAB = nnzB * nnzA.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   179 |     dst.reserve(VectorXi::Map(nnzAB.data(), nnzAB.size()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:3,
                 from ../inst/include/glmmr/general.h:32:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In function ‘int clear_flag(int, int, intvec&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning: unused variable ‘x’ [-Wunused-variable]
  145 |   int x ;
      |       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   178 | class Matrix
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:145:7: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:237:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   237 |         double val = x(i, j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                      ~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::insert(int, int, double)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  342 |     if(Ap[row]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  349 |     for(int i = row+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  361 |     if(Ap[col]+p >= Ai.size()){
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     for(int i = col+1; i < Ap.size(); i++)Ap[i]++;
      |                        ~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::transpose()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  383 |   for (int i = 2; i < B.Ap.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘sparse& sparse::operator+=(const sparse&)’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:415:10: warning: unused variable ‘val’ [-Wunused-variable]
  415 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h: In member function ‘void sparse::AMD_order()’:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:625:10: warning: unused variable ‘mem’ [-Wunused-variable]
  625 |   double mem = 0;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:626:7: warning: unused variable ‘nz’ [-Wunused-variable]
  626 |   int nz = Ap.back();
      |       ^~
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:815:19: warning: unused variable ‘ilast’ [-Wunused-variable]
  815 |   int deg, inext, ilast;
      |                   ^~~~~
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:4:
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘dblvec operator*(const sparse&, const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   12 |   if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication");
      |      ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:14:10: warning: unused variable ‘val’ [-Wunused-variable]
   14 |   double val;
      |          ^~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In member function ‘sparse& sparse::operator%=(const dblvec&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   for(int i = 0; i < Ax.size(); i++){
      |                  ~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:65:30:   required from here
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:    65 |   MatrixXd D = MatrixXd::Zero(m.n,m.m);
/usr/local/lib/R/library/SparseChol/include/operators.h:37:20: warning:       |                ~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:144:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |     return AB.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:148:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | inline VectorXd operator*(const sparse& A, const VectorXd& B){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h:149:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   149 |   VectorXd AB = VectorXd::Zero(A.n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/SparseChol/include/operators.h: In function ‘sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)’:
/usr/local/lib/R/library/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare]
  174 |     for(unsigned int i = 0; i < A.m; i++){
      |                             ~~^~~~~
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /usr/local/lib/R/library/BH/include/boost/random.hpp:70,
                 from ../inst/include/glmmr/general.h:43:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
../inst/include/glmmr/general.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/general.h:247:11: warning: unused variable ‘a’ [-Wunused-variable]
  247 |     float a = std::stod(s);
      |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/general.h:247:11: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/general.h:247:11: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/general.h:247:11: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/general.h:247:11: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/general.h:247:11: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/general.h:247:11: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/general.h:247:11: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/general.h:247:11: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/general.h:247:11: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/general.h:247:11: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:17:   required from here
../inst/include/glmmr/general.h:247:11: warning:   112 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
../inst/include/glmmr/general.h:247:11: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:126:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:137:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   137 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:78:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |     mu = mu.array().inverse().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/maths.h:89:20:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    89 |   Eigen::ArrayXd p(xb.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:99:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 |             wdiag = exp_vec(-1.0 * xb);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:115:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |             wdiag = (p * (1 - p)).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:210:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   210 |       wdiag = (pinv.inverse()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:228:32:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   228 |   Eigen::ArrayXd xbnew(xb.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:232:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:232:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   174 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:232:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:239:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:239:90:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   239 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:243:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |     zprod = zprod.inverse().sqrt();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/maths.h:251:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:251:92:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:259:22:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   259 |   return xbnew.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:273:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   273 |     wdiag = mu.array()*(1-mu.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:279:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   279 |     wdiag = mu.array().square();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:282:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   282 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:468:14:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   468 |     samps.col(i) = Rcpp::as<VectorXd>(z);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:25:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    25 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/formula.hpp:4,
                 from ../inst/include/glmmr.h:5:
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   59 |   if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size()));
      |      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   61 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1> >’
../inst/include/glmmr/calculator.hpp:61:20: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>’
../inst/include/glmmr/calculator.hpp:61:20: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
../inst/include/glmmr/calculator.hpp:61:20: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:172:35:   required from here
../inst/include/glmmr/calculator.hpp:61:20: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
../inst/include/glmmr/calculator.hpp:61:20: warning:       |                    ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/formulaparse.h:77:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |     parse_formula(s1,calc,data,colnames,Xdata,bracket_flag);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:208:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   208 |                 dblvec unique_values(data.col(column_index).data(),data.col(column_index).data()+data.rows());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formula.hpp: In member function ‘void glmmr::Formula::tokenise()’:
../inst/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  127 |   for(int i =0; i<re_.size(); i++){
      |                 ~^~~~~~~~~~~
In file included from ../inst/include/glmmr.h:6:
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  345 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  346 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  590 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
../inst/include/glmmr/covariance.hpp:590:32: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
../inst/include/glmmr/covariance.hpp:590:32: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
../inst/include/glmmr/covariance.hpp:590:32: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:653:44:   required from here
../inst/include/glmmr/covariance.hpp:590:32: warning:   653 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
../inst/include/glmmr/covariance.hpp:590:32: warning:       |                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:791:84:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:96:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]
  989 |       if(re_order_[j]==i){
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
../inst/include/glmmr/covariance.hpp:989:22: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/covariance.hpp:989:22: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
../inst/include/glmmr/covariance.hpp:989:22: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1046:63:   required from here
../inst/include/glmmr/covariance.hpp:989:22: warning:  1046 |           MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1].block(obs_counter,obs_counter,blocksize,blocksize));
../inst/include/glmmr/covariance.hpp:989:22: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1047:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1047 |           MatrixXd detmat2 = LmatT.triangularView<Upper>().solve(detmat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1054:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1054:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1054:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1056:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1056 |           VectorXd zzquad = LmatT.triangularView<Upper>().solve(ozquad); //glmmr::algo::backward_sub(dmat_matrix.transpose(), ozquad, blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:108:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/covariance.hpp:1078:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |         MatrixXd detmat = Lmat.triangularView<Lower>().solve(derivs[i+1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:1092:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1092 |       VectorXd vvec = Map<VectorXd>(v.data(), v.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:114:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   114 |   form.calculate_linear_predictor(calc,linpred.calc.data.array(),linpred.colnames_vec,calc.data);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:171:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   171 |     xb = X_ * beta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:200:53:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   200 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:50:13:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    50 |   ArrayXXi  indices;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 2, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:216:11:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   216 |   Array2d w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:88:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:106:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:250:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   250 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:269:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:5,
                 from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:8:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  388 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  389 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   115 | class dense_product_base
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:   400 |   PhiT = Phi.transpose() * Phi;
../inst/include/glmmr/hsgpcovariance.hpp:389:22: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:11:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    11 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:13:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    13 |   ArrayXXi NN = ArrayXXi::Constant(1,1,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/griddata.hpp:26:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    26 | inline ArrayXi glmmr::griddata::top_i_pq(const ArrayXd& v, int n) {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5,
                 from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
   36 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 3>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/griddata.hpp:36:19: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 0>’
../inst/include/glmmr/griddata.hpp:36:19: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>, 1>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, 1, true, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, 1, true, Eigen::Dense>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>’
../inst/include/glmmr/griddata.hpp:36:19: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/griddata.hpp:36:19: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/griddata.hpp:72:13:   required from here
../inst/include/glmmr/griddata.hpp:36:19: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
../inst/include/glmmr/griddata.hpp:36:19: warning:       |       ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:61:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:168:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |   return Dvec.array().log().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:248:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  248 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
  264 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    94 | class CwiseUnaryOpImpl
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:279:36:   required from here
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:   279 |   ArrayXd dsqrt = Dvec.array().sqrt();
../inst/include/glmmr/nngpcovariance.hpp:264:32: warning:       |                   ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:292:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   292 |   return y * dsqrt.matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:214:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:114:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:83:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:103:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:131:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)’:
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning: unused variable ‘av’ [-Wunused-variable]
  379 |   double au, av, qf;
      |              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>’
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:64:20:   required from here
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
../inst/include/glmmr/nngpcovariance.hpp:379:14: warning:       |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 | class SolveImpl<Decomposition,RhsType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
../inst/include/glmmr/randomeffects.hpp:88:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    88 |   D22 = D22.llt().solve(MatrixXd::Identity(model.covariance.Q(),model.covariance.Q()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:92:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    92 |   result.vec = SSV.rowwise().mean();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:162:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |     newLuCol = newLu.col(i) - result.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:163:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |     result.mat += (newLuCol * newLuCol.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:165:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |   result.mat.array() *= (1/(double)iter);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:57:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    57 |   W_ = (W_.array()*nvar_par).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:310:65:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                 ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:31:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                               ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:357:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:45:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                             ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:365:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:366:12:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   366 |       S.add(SigmaInv*partial1*SigmaInv*partial2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:70:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:81:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:94:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:457:95:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   457 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - P(i)*M*P(j) -P(j)*M*P(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |       meat += M_theta(i,i)*(Q(scnd_idx) - P(i)*M*P(i));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:478:26:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |     M_new = M + 2*M*meat*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:514:55:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:555:60:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:641:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   641 |     B = Px - Xr*XrtXr*Xr.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:678:100:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   678 |             size_q_array =  SparseOperators::operator*(ZLt, size_n_array.matrix()).array()-v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:684:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   684 |           size_n_array = size_n_array.exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:130:73:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |     Rcpp::Rcout << "\nCurrent value: " << u0_.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/modelmcmc.hpp:131:66:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |     Rcpp::Rcout << "\nvelocity: " << r.transpose().head(printSize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:12,
                 from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)’:
../inst/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  431 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::set_bounds(const std::vector<double>&, const std::vector<double>&)’:
../inst/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  442 |   for(int i = 0; i < dim; i++)
      |                  ~~^~~~~
../inst/include/glmmr/optim/optim.h: In member function ‘void optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>::minimise()’:
../inst/include/glmmr/optim/optim.h:503:16: warning: unused variable ‘a’ [-Wunused-variable]
  503 |         double a = eval(current_values, g);
      |                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
../inst/include/glmmr/optim/optim.h:503:16: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/glmmr/optim/optim.h:503:16: warning:    52 | template<typename MatrixType> class Transpose
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:468:45:   required from here
../inst/include/glmmr/optim/optim.h:503:16: warning:   468 |   double logl = v.col(0).transpose()*v.col(0);
../inst/include/glmmr/optim/optim.h:503:16: warning:       |                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:913:27:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   913 |     w = w.cwiseProduct(dmu);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:914:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   914 |     w = w.cwiseProduct(resid.matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:50:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:116:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1115:58:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1115 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1120:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1120 |     weightsnew = weightsnew.abs();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:40:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
other_functions.cpp: In function ‘std::vector<std::__cxx11::basic_string<char> > re_names(const std::string&)’:
other_functions.cpp:9:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
    9 |   for(int i = 0; i < form.re_.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
other_functions.cpp:9:20: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
other_functions.cpp:9:20: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
other_functions.cpp:9:20: warning:    41 | template<typename Derived> class DenseBase
other_functions.cpp:9:20: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
other_functions.cpp:9:20: warning:    48 | template<typename Derived> class MatrixBase
other_functions.cpp:9:20: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
other_functions.cpp:9:20: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
other_functions.cpp:9:20: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41:   required from ‘Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]’
other_functions.cpp:9:20: warning:   545 |   return Scalar(m_det_p) * m_lu.diagonal().prod();
other_functions.cpp:9:20: warning:       |                            ~~~~~~~~~~~~~^~
../inst/include/glmmr/maths.h:241:36:   required from here
other_functions.cpp:9:20: warning:   241 |       zprod(i) = pluDzz.determinant();
other_functions.cpp:9:20: warning:       |                  ~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr.h:4:
../inst/include/glmmr/maths.h: In instantiation of ‘T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator<boost::random::mersenne_twister_engine<unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/covariance.hpp:680:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   680 |       randomGaussian(generator, zz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
   15 |   for (size_t i = 0; i < res.size(); ++i)
      |                      ~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
../inst/include/glmmr/maths.h:15:24: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
../inst/include/glmmr/maths.h:15:24: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/maths.h:15:24: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
../inst/include/glmmr/maths.h:15:24: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
../inst/include/glmmr/maths.h:15:24: warning:   131 |   typedef typename PlainObjectType::Scalar Scalar;
../inst/include/glmmr/maths.h:15:24: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
../inst/include/glmmr/maths.h:15:24: warning:   236 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
../inst/include/glmmr/maths.h:15:24: warning:    96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
../inst/include/glmmr/maths.h:15:24: warning:    29 | struct evaluator<Product<Lhs, Rhs, Options> >
../inst/include/glmmr/maths.h:15:24: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
../inst/include/glmmr/maths.h:15:24: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
../inst/include/glmmr/maths.h:15:24: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
../inst/include/glmmr/maths.h:15:24: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
../inst/include/glmmr/maths.h:15:24: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:109:27:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   109 |         m_drt.noalias() = -m_grad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:162:32:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   162 |             vecs.noalias() = x - m_xp;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~^~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:46,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:26:
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:59:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                           ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:31:82:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    31 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp> > ptr;
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                                  ^
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:   221 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                                                                               ^~~
../inst/include/glmmr/modeloptim.hpp:1030:20:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:  1030 |     ArrayXi rows = Map<ArrayXi,Unaligned>(sb.RowIndexes.data(),sb.RowIndexes.size());
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/Rcpp/include/Rcpp/XPtr.h:31:5: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:93:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1031:42:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1031 |     MatrixXd X = glmmr::Eigen_ext::submat(model.linear_predictor.X(),rows,ArrayXi::LinSpaced(P(),0,P()-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:407:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   407 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   104 |     dst = dst * this->derived();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   other.derived().applyThisOnTheRight(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:409:59:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   409 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<int, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<int, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30:   required from ‘static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   146 |             x.noalias() = xp + step * drt;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:130:43:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   130 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:56:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   235 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:166:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   166 |             res.noalias() -= m_alpha[j] * m_y.col(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:33:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:60:46:   required from ‘static void LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 |         x.noalias() = x.cwiseMax(lb).cwiseMin(ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:131:21:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         force_bounds(x, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:33:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:46:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:51:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:64:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:77:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 |             m_permMinv.diagonal().setOnes();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:196:29:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |                 m_bfgs.reset(n, m_param.m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:32:64:   required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    32 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:689:22:   required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |   ArrayXd xb(model.xb());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:602:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   602 |   double ll = log_likelihood();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/IO.h:220:42:   required from ‘std::ostream& Eigen::operator<<(std::ostream&, const DenseBase<Derived>&) [with Derived = Transpose<Block<Array<double, -1, 1>, -1, 1, false> >; std::ostream = std::basic_ostream<char>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   220 |   return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1045:75:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1045 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |   typedef typename MatrixType::RealScalar RealScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:51:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:70:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:196:83:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   196 |         res.tail(m_ncorr).noalias() = m_theta * m_s.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    59 | template<typename Derived> class RefBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   193 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                            ^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:41:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:393:44:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   393 |             rhs.noalias() = WF.transpose() * Fd;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:412:31:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   412 |             res.noalias() = v / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:25:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:61:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:423:73:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:102:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:427:47:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:104:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:112:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:432:72:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:431:88:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   431 |             mid.col(m_ncorr + j).segment(m_ncorr + j, m_ncorr - j).noalias() = m_theta *
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~^
     432 |                 (m_permMinv.col(m_m + j).segment(m_m + j, m_ncorr - j) - WP.rightCols(m_ncorr - j).transpose() * WP.col(m_ncorr + j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:50:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:441:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |         res.noalias() = v / m_theta + (WP * WPv) / (m_theta * m_theta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:25:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ^~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:29:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~^~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   460 |       BlockType A_0(lu,0,0,rows,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:796:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |     loglik_val = size_B_array.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                  ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   346 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   352 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   121 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   355 |           A21.noalias() -= A20 * temp.head(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:91:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                     ~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:83:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:364:50:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   364 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                  ^
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:14:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:33:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~^~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:39:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:81:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:92:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:103:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:471:29:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   471 |                 MapConstVec l(&coeff(i + 1, i), b1size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:472:59:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   472 |                 res.segment(i + 1, b1size).noalias() -= l * x[i];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~^~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:478:68:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 |                 res.segment(i + 2, b2size).noalias() -= (l1 * x[i] + l2 * x[i + 1]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:31:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~^~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   316 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   317 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   318 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                               ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ~~~~^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                ~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:469:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |     samps.col(i) += mu.vec;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   373 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1338 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1416 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    86 |           && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         ret = ret && (A21.array()==Scalar(0)).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                          ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1122:49:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1122 |     diff = ((weights-weightsnew).abs()).maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |       matrix.rightCols(numCols-colToRemove);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   337 |       return unblocked(m);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:281:63:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   281 |             Xdata.col(calc.data_count) = data.col(column_index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   797 |   call_assignment_no_alias(dst, tmp, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:681:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |       samps.segment(idx,ndim) = L*zz;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                   ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:791:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   791 |         zquad.segment(0,blocksize) = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1087:33:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1087 |       VectorXd ucol = umat.col(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:153:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |     hsgp_data.col(i) = this->data_.col(this->re_cols_data_[0][0][i]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<int, -1, 1>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>; Src = Eigen::Array<int, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<int, -1, 1>; Derived = Eigen::Block<Eigen::Array<int, -1, -1>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:72:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    72 |       NN.col(i) = top_i_pq(dist,M);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   110 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   319 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:340:215:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   340 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                                                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, -1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:64:51:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    64 |   mergedata.topRows(model.n()) = model.covariance.data_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                   ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:67:44:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    67 |   mergeoffset.head(model.n()) = model.data.offset;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:164:56:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                        ~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:86:32:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    86 |         m_s.col(loc).noalias() = s;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:67:75:   required from ‘static Scalar LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    67 |         return ((x - g).cwiseMax(lb).cwiseMin(ub) - x).cwiseAbs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgsb.h:141:37:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   141 |         m_projgnorm = proj_grad_norm(x, m_grad, lb, ub);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   215 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:232:52:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:   232 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   266 |   this->visit(maxVisitor);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   381 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   586 |       dst.row(i) /= vecD(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/randomeffects.hpp:91:30:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    91 |   MatrixXd SSV = D12 * D22 * Lu;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:126:35:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   126 |             Scalar dg = m_grad.dot(m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:93:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |         m_theta = m_y.col(loc).squaredNorm() / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:353:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         res.noalias() = scale * (WP * Mv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:398:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   398 |         apply_PtWMv(WF, rhs, res, Scalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   151 |         bfgs.compute_FtBAb(WF, fv_set, newact_set, Wd, drt, vecc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:422:58:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   422 |             mid.col(j).segment(j, m_ncorr - j).noalias() = m_permMinv.col(j).segment(j, m_ncorr - j) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     423 |                 WP.block(0, j, nP, m_ncorr - j).transpose() * WP.col(j) / m_theta;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   221 |     return m.cwiseAbs().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   441 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   522 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   321 |       if (k>0) x -= A10.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                     ~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   325 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   287 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     288 |                           blockA, blockB+j2*actual_kc,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     289 |                           actual_mc, panelLength, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     290 |                           Scalar(-1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~
     291 |                           actual_kc, actual_kc, // strides
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     292 |                           panelOffset, panelOffset); // offsets
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   357 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:792:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   792 |         size_B_array[b] = (-0.5*blocksize * log(2*M_PI) - 0.5*logdet_val - 0.5*zquad.transpose()*zquad);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:90:43:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    90 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:336:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:419:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   419 |                 m_info = gaussian_elimination_1x1(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:365:28:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   365 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:371:64:   required from ‘int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   371 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:423:26:   required from ‘void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   423 |                 m_info = gaussian_elimination_2x2(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:145:34:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   145 |             m_permMsolver.compute(m_permMinv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:165:40:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   165 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                          ~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/optim/lbfgs.h:168:28:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   168 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   480 |         A_0.row(i).swap(A_0.row(piv));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   153 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   490 |         A11.template triangularView<UnitLower>().solveInPlace(A12);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:1096:62:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1096 |         dqf[j] += (zzquad.transpose() * derivs[j+1] * zzquad)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:159:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   159 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   484 |       return derived().coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   353 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   520 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   112 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   668 |   return LDLT<PlainObject>(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:35:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:341:85:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   341 |     Dvec(i) = s0vals[0] - (A.col(i).segment(0,idxlim).transpose() * Sv.head(idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   144 |       return internal::evaluator<Derived>(derived()).coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |       return coeff(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:342:133:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   342 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from ‘static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherXpr = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; ProductType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   326 |       if (rs>0) A21 /= x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   356 |       if((ret=unblocked(A11))>=0) return k+ret;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |               ~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   358 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   401 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   449 |   bool ok = Traits::inplace_decomposition(m_matrix);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 |       compute(matrix.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:144:41:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   144 |   Eigen::LLT<Eigen::MatrixXd> lltOfA(mat);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   390 |           lu.row(k).swap(lu.row(row_of_biggest_in_col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   274 |   evaluator<Rhs> rhsEval(rhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   123 |           Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   327 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   501 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:93:43:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    93 |   result.mat -= D12 * D22 * D12.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:112:20:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   112 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~
../inst/include/glmmr/optim/lbfgs.h:165:38:   required from ‘int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   165 |                 m_bfgs.add_correction(vecs, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:491:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   491 |           niter = solver.minimize(*this, current_values, min_f, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:195:37:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |         res.head(m_ncorr).noalias() = m_y.leftCols(m_ncorr).transpose() * v;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:155:23:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   155 |         bfgs.apply_Wtv(vecd, vecp);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BKLDLT.h:508:49:   required from ‘void LBFGSpp::BKLDLT<Scalar>::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   508 |             x[i] -= res.segment(i + 1, ldim).dot(l);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:249:36:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   249 |         m_permMsolver.solve_inplace(vpadding);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/Cauchy.h:160:22:   required from ‘static void LBFGSpp::Cauchy<Scalar>::get_cauchy_point(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   160 |         bfgs.apply_Mv(vecp, cache);  // cache = Mp
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:157:41:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   157 |         Cauchy<Scalar>::get_cauchy_point(m_bfgs, x, m_grad, lb, ub, xcp, vecc, newact_set, fv_set);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   287 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   818 |       this->_set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1078:9:   required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1078 |       M += Xs[i].transpose() * Sigmas[i] * Xs[i];
other_functions.cpp:42:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   539 |       this->solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   228 |     Gemm::run(rows, cols, m_lhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
     229 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     230 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     231 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     232 |               m_actualAlpha, m_blocking, info);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   125 |     return func(0,rows, 0,cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   486 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     487 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   437 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      66 |           actualPanelWidth, r,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
      67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
      68 |           RhsMapper(rhs + startCol, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
      69 |           rhs + startRow, 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~~~~~                                                                                       
      70 |           RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |           ~~~~~~~~~~~~~~                                                                                           
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   509 |     { return solveInPlace<OnTheLeft>(other); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from ‘void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   592 |   matrixU().solveInPlace(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   243 |       general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     244 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     245 |           actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     246 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     247 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     248 |           dest.data(), 1,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~                                                                                                             
     249 |           compatibleAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   380 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     381 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     382 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:469:23:   required from ‘bool LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; IndexSet = std::vector<int>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   469 |         res.noalias() = -WP * MWQtv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   240 |                 bool nonzero = bfgs.apply_PtBQv(WP, L_set, lL, tmp, true);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   194 |     res = mat.coeffByOuterInner(0, 0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   438 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   523 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   128 |   Index alignedStart = internal::first_default_aligned(res,size);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   131 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     132 |             r, actualPanelWidth,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
     133 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
     134 |             RhsMapper(rhs+startBlock, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
     135 |             rhs+endBlock, 1, RhsScalar(-1));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<int, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<int, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   847 |       Base::operator=(other); \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46:   required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; OtherDerived = Eigen::Array<int, -1, -1>; bool IsVector = false; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   943 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60:   required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<int, -1, -1>; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:   392 |       internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:61:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:    61 |   NN.conservativeResize(M,n);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning:       |   ~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__m128i’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 |     { return mat.MEMBER(); } \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1316 |       return m_functor(m_arg.col(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double>, 1>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/calculator.hpp:172:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   172 |   VectorXd Hmean = H.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:336:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   MatrixXd ZLu = glmmr::hsgpCovariance::ZL() * u;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:357:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   357 |   VectorXd uquad = u * L;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   961 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/covariance.hpp:1054:107:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1054 |           VectorXd ozquad = Lmat.triangularView<Lower>().solve(umat.col(i).segment(obs_counter, blocksize)); //glmmr::algo::forward_sub(dmat_matrix, umat.col(i).segment(obs_counter, blocksize), blocksize);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   736 |   DstEvaluatorType dstEvaluator(dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   406 |         lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   436 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:269:15:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   269 |     return As * As.transpose();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    58 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   492 |         A22.noalias() -= A21 * A12;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   507 |   partial_lu_impl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~
     508 |     <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     509 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   533 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10:   required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   336 |   compute();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~^~
../inst/include/glmmr/maths.h:240:56:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   240 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:330:54:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   330 |   MatrixXd LZWZL = ZL.transpose() * w.asDiagonal() * ZL;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                      ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:195:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   195 |     A.col(i).head(idxlim) = S.ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   730 |   SrcEvaluatorType srcEvaluator(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   879 |     call_dense_assignment_loop(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   147 |     src.dec()._solve_impl(src.rhs(), dst);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    66 |   internal::call_assignment(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:339:71:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   339 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   665 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   349 |     Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   478 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   115 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   300 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   551 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   132 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1059:112:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1059 |             dqf[j] += zzquad.transpose() * derivs[j+1].block(obs_counter, obs_counter, blocksize, blocksize) * zzquad;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                                                                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   270 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    99 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   681 |     CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; Func = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:    42 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/BFGSMat.h:426:59:   required from ‘void LBFGSpp::BFGSMat<Scalar, LBFGSB>::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix<double, -1, -1>; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   426 |         mid.block(m_ncorr, 0, m_ncorr, m_ncorr).noalias() = m_permMinv.block(m_m, 0, m_ncorr, m_ncorr) -
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     427 |             WP.rightCols(m_ncorr).transpose() * WP.leftCols(m_ncorr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24:   required from ‘static void LBFGSpp::SubspaceMin<Scalar>::subspace_minimize(const LBFGSpp::BFGSMat<Scalar, true>&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix<double, -1, 1>; IndexSet = std::vector<int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   163 |         bfgs.solve_PtBP(WF, -vecc, vecy);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/lbfgsb.h:252:51:   required from ‘int LBFGSpp::LBFGSBSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim<double(const Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   252 |             SubspaceMin<Scalar>::subspace_minimize(m_bfgs, x, xcp, m_grad, lb, ub,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     253 |                                                    vecc, newact_set, fv_set, m_param.max_submin, m_drt);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:499:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:   499 |           niter = solver.minimize(*this, current_values, min_f, lower_bound, upper_bound, control.trace);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning:       |                   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   578 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   631 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:400:28:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   400 |   PhiT = Phi.transpose() * Phi;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:135:16:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
../inst/include/glmmr/model.hpp:210:22: warning:       |                ^~~~~
../inst/include/glmmr/model.hpp:172:60: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  172 |    if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector");
      |                                            ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:195:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  195 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  210 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/model.hpp:210:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/model.hpp:210:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    39 | template<typename Derived> class ArrayBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:891:18:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   891 |     nvar_par = (1+model.data.variance);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:39:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:903:70:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   903 |     w = ((w.array() *nvar_par).inverse() * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:909:29:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   909 |       dmu = dmu.cwiseProduct(model.data.variance.inverse().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:922:42:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   922 |   VectorXd bincr = XtWXm * X.transpose() * Wum;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:923:57:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   923 |   update_beta(model.linear_predictor.parameter_vector() + bincr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:939:45:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   939 |   ArrayXd resid = (model.data.y - zdu).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:947:63:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   947 |   pderiv.head(P()) = (model.linear_predictor.X()).transpose() * w;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 |   virtual void    update_beta(const dblvec &beta);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/modeloptim.hpp:48:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 |   virtual void    update_beta(const dblvec &beta);
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:635:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  635 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    41 | template<typename Derived> class DenseBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    48 | template<typename Derived> class MatrixBase
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    38 |                    >::type Scalar;
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   148 | class CwiseBinaryOpImpl
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    77 | class CwiseBinaryOp :
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
../inst/include/glmmr/modeloptim.hpp:635:22: warning:   862 |   MatrixXd zd = matrix.linpred();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
../inst/include/glmmr/modeloptim.hpp:635:22: warning:    55 |   virtual void    nr_beta();
../inst/include/glmmr/modeloptim.hpp:635:22: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:577:27:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   577 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:862:31:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   862 |   MatrixXd zd = matrix.linpred();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:32:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:58:60:   required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    58 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:929:18:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   929 |   matrix.W.update();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:69:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:676:98:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   676 |             size_p_array +=  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:686:49:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   686 |             size_n_array = model.data.y.array() - size_n_array;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:82:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:689:112:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   689 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y-size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:45:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:705:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   705 |         size_n_array = (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:718:61:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   718 |         ArrayXd n_array2 = ArrayXd::Constant(model.n(),1.0) - model.xb().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:738:60:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   738 |         size_n_array = model.data.y.array() * size_n_array + (model.data.variance - model.data.y.array()) * n_array2;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:44:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:754:88:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   754 |         size_n_array = model.data.y.array()*(ArrayXd::Constant(model.n(),1) - logitxb) - (model.data.variance - model.data.y.array())*logitxb;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:54:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:124:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:91:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:105:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:808:131:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   808 |             size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:104:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:125:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:128:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:152:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:820:178:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   820 |             size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:822:64:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   822 |             size_n_array *= (model.data.y.array()*size_n_array - ArrayXd::Ones(model.n()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:103:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:113:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:68:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:115:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:834:141:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   834 |             size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:69:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:435:100:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   435 |       M_theta(i,j) = 0.5*(S(counter).trace()) - (M*Q(counter)).trace() + 0.5*((M*P(i)*M*P(j)).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                                              ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:554:53:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   554 |         a1 += mult*M_theta(i,j)*(Theta*P(i)*M).trace()*(Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:513:58:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   513 |       V[i] -= 2*((SigX.transpose()*partial1*SS*X*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    63 | template<typename MatrixType, int _DiagIndex> class Diagonal
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:  1575 |   typedef typename XprType::Scalar Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:514:61:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   514 |       V[i] += ((XSXM*SigX.transpose()*partial1*SigX*M).trace());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |     const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:980:54:   required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   980 |       sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:924:3:   required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   924 |   calculate_var_par();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:55:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    55 |   virtual void    nr_beta();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:774:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   774 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*(model.data.y - size_n_array.matrix()))).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   836 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   804 |   call_assignment_no_alias(dst, src, func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >; Derived = Eigen::Array<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:789:24:   required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   789 |           size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:948:41:   required from ‘void glmmr::ModelOptim<modeltype>::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   948 |   pderiv.tail(Q()) = matrix.log_gradient(re.u_.col(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:56:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    56 |   virtual void    laplace_nr_beta_u();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                   ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:425:12:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   425 |       Q.add(X.transpose()*SigmaInv*partial1*SigmaInv*partial2*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:503:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   503 |     MatrixXd XSXM = X.transpose()*SS*X*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ^~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   782 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   714 |       internal::call_assignment(this->derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   225 |       return Base::_set(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:547:37:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   547 |     Theta = (1/vlb)*(L*L.transpose());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                     ^
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Xpr2 = const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:416:10:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |     P.add(-1*SigX.transpose()*partial1*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:428:15:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   428 |         RR.add(SigX.transpose()*Z*derivs[R+1+scnd_idx]*Z.transpose()*SigX);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   416 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   453 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:500:34:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   500 |   return derived().diagonal().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:555:66:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   555 |         a2 += mult*M_theta(i,j)*(Theta*P(i)*M*Theta*P(j)*M).trace();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:252:85:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   252 |       CorrectionData<SE::KR> kdata = matrix.template small_sample_correction<SE::KR>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:498:14:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   498 |           SS += rep * M_theta(i,j) *Z*derivs[R+1+scnd_idx]*Z.transpose()*SigmaInv;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   427 |     call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   294 |       Base::template _init1<T>(x);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   796 |   typename plain_matrix_type<Src>::type tmp(src);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:520:22:   required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   520 |         M_correction += rep*M_theta(i,j)*V[j]*M*P(i)*M;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:258:87:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   258 |       CorrectionData<SE::KR2> kdata = matrix.template small_sample_correction<SE::KR2>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   115 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   147 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   732 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   537 |       _set_noalias(other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   377 |       : Base(other.derived())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                             ^
../inst/include/glmmr/modelmatrix.hpp:310:12:   required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   310 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |            ^~~~~~
../inst/include/glmmr/model.hpp:263:33:   required from ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   263 |       M = matrix.sandwich_matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |           ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:135:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:   135 | inline dblpair glmmr::Model<modeltype>::marginal(const MarginType type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning:       |                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: At global scope:
../inst/include/glmmr/optim/bobyqa_general.h:251:1: warning: ‘int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)’ defined but not used [-Wunused-function]
  251 | bobyqa(const INTEGER n, const INTEGER npt,
      | ^~~~~~
In member function ‘sparse::operator=(sparse)’,
    inlined from ‘SparseChol::update(sparse const&)’ at /usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21:
/usr/local/lib/R/library/SparseChol/include/sparsematrix.h:271:9: warning: ‘D.556474.m’ may be used uninitialized [-Wmaybe-uninitialized]
  271 |   m = B.m;
      |       ~~^
In file included from /usr/local/lib/R/library/SparseChol/include/SparseChol.h:5:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h: In member function ‘SparseChol::update(sparse const&)’:
/usr/local/lib/R/library/SparseChol/include/sparseldl.h:64:21: note: ‘<anonymous>’ declared here
   64 |       L = sparse(LAp);
      |                     ^
g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o glmmrBase.so RcppExports.o covariance_module.o linpred_module.o model_module.o model_module_2.o model_module_extension.o openmp_utils.o other_functions.o -fopenmp -lflexiblas -lgfortran -lm -lquadmath -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64/usr/local/lib/R/library/00LOCK-glmmrBase/00new/glmmrBase/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘glmmrBase’
    finding HTML links ... done
    Beta                                    html  
    Covariance                              html  
    MeanFunction                            html  
    Model                                   html  
    cross_df                                html  
    cycles                                  html  
    glmmrBase-package                       html  
    match_rows                              html  
    mcnr_family                             html  
    nelder                                  html  
    nest_df                                 html  
    print.mcml                              html  
    progress_bar                            html  
    setParallel                             html  
    summary.mcml                            html  
    yexample312a                            html  
    yexample312b                            html  
    yexample312c                            html  
    ytest1                                  html  
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (glmmrBase)
+ test -d glmmrBase/src
+ cd glmmrBase/src
+ rm -f RcppExports.o covariance_module.o linpred_module.o model_module.o model_module_2.o model_module_extension.o openmp_utils.o other_functions.o glmmrBase.so
+ rm -f /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64@@g '{}' ';'
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 0.6.2-1.fc40.copr6923891 --unique-debug-suffix -0.6.2-1.fc40.copr6923891.x86_64 --unique-debug-src-base R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/glmmrBase
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
1456 blocks
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
+ /usr/lib/rpm/redhat/brp-python-hardlink
Processing files: R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
Provides: R-CRAN-glmmrBase = 0.6.2-1.fc40.copr6923891 R-CRAN-glmmrBase(x86-64) = 0.6.2-1.fc40.copr6923891
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-glmmrBase-debugsource-0.6.2-1.fc40.copr6923891.x86_64
Provides: R-CRAN-glmmrBase-debugsource = 0.6.2-1.fc40.copr6923891 R-CRAN-glmmrBase-debugsource(x86-64) = 0.6.2-1.fc40.copr6923891
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-glmmrBase-debuginfo-0.6.2-1.fc40.copr6923891.x86_64
Provides: R-CRAN-glmmrBase-debuginfo = 0.6.2-1.fc40.copr6923891 R-CRAN-glmmrBase-debuginfo(x86-64) = 0.6.2-1.fc40.copr6923891 debuginfo(build-id) = ba9e7e4c0e75c2f5964703372ee19650fe19b857
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-glmmrBase-debugsource(x86-64) = 0.6.2-1.fc40.copr6923891
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
Wrote: /builddir/build/RPMS/R-CRAN-glmmrBase-debugsource-0.6.2-1.fc40.copr6923891.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-glmmrBase-debuginfo-0.6.2-1.fc40.copr6923891.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.cvgDKi
+ umask 022
+ cd /builddir/build/BUILD
+ cd glmmrBase
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.x86_64
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.y9tnxq
+ umask 022
+ cd /builddir/build/BUILD
+ rm -rf /builddir/build/BUILD/glmmrBase-SPECPARTS
+ rm -rf glmmrBase glmmrBase.gemspec
+ RPM_EC=0
++ jobs -p
+ exit 0

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
Finish: build phase for R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1705713496.207263/root/var/log/dnf5.log
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-glmmrBase-0.6.2-1.fc40.copr6923891.src.rpm) Config(child) 6 minutes 41 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "R-CRAN-glmmrBase-debugsource",
            "epoch": null,
            "version": "0.6.2",
            "release": "1.fc40.copr6923891",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-glmmrBase",
            "epoch": null,
            "version": "0.6.2",
            "release": "1.fc40.copr6923891",
            "arch": "src"
        },
        {
            "name": "R-CRAN-glmmrBase-debuginfo",
            "epoch": null,
            "version": "0.6.2",
            "release": "1.fc40.copr6923891",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-glmmrBase",
            "epoch": null,
            "version": "0.6.2",
            "release": "1.fc40.copr6923891",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished